Geiger, Maximilian; Fleck, Philipp; Arth, Clemens<\/p>
An Inexpensive Chest Belt for measuring Respiratory Effort<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Sensors Journal, <\/span>pp. 1-1, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{geiger2026,\r\ntitle = {An Inexpensive Chest Belt for measuring Respiratory Effort},\r\nauthor = {Maximilian Geiger and Philipp Fleck and Clemens Arth},\r\ndoi = {10.1109\/JSEN.2026.3668016},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\njournal = {IEEE Sensors Journal},\r\npages = {1-1},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>doi:10.1109\/JSEN.2026.3668016<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kanik, Timon; Fleck, Philipp; Kernbauer, Thomas; Arth, Clemens<\/p>Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware<\/a> Conference<\/span> <\/p>Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, <\/span>INSTICC <\/span>SciTePress, <\/span>2026<\/span>, ISSN: 2184-4321<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@conference{kanik26,\r\ntitle = {Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware},\r\nauthor = {Timon Kanik and Philipp Fleck and Thomas Kernbauer and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=MwG5B2dxink},\r\ndoi = {10.5220\/0014334200004084},\r\nissn = {2184-4321},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP},\r\npages = {444-455},\r\npublisher = {SciTePress},\r\norganization = {INSTICC},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {conference}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=MwG5B2dxink<\/a><\/li><\/i>doi:10.5220\/0014334200004084<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Reyes-Aviles, Fernando; Fleck, Philipp; Schmalstieg, Dieter; Arth, Clemens<\/p>Change-Resilient Localization Estimation<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 184-194, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
In: <\/span>IEEE Sensors Journal, <\/span>pp. 1-1, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{geiger2026,\r\ntitle = {An Inexpensive Chest Belt for measuring Respiratory Effort},\r\nauthor = {Maximilian Geiger and Philipp Fleck and Clemens Arth},\r\ndoi = {10.1109\/JSEN.2026.3668016},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\njournal = {IEEE Sensors Journal},\r\npages = {1-1},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>doi:10.1109\/JSEN.2026.3668016<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kanik, Timon; Fleck, Philipp; Kernbauer, Thomas; Arth, Clemens<\/p>Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware<\/a> Conference<\/span> <\/p>Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, <\/span>INSTICC <\/span>SciTePress, <\/span>2026<\/span>, ISSN: 2184-4321<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@conference{kanik26,\r\ntitle = {Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware},\r\nauthor = {Timon Kanik and Philipp Fleck and Thomas Kernbauer and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=MwG5B2dxink},\r\ndoi = {10.5220\/0014334200004084},\r\nissn = {2184-4321},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP},\r\npages = {444-455},\r\npublisher = {SciTePress},\r\norganization = {INSTICC},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {conference}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=MwG5B2dxink<\/a><\/li><\/i>doi:10.5220\/0014334200004084<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Reyes-Aviles, Fernando; Fleck, Philipp; Schmalstieg, Dieter; Arth, Clemens<\/p>Change-Resilient Localization Estimation<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 184-194, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{geiger2026,\r\ntitle = {An Inexpensive Chest Belt for measuring Respiratory Effort},\r\nauthor = {Maximilian Geiger and Philipp Fleck and Clemens Arth},\r\ndoi = {10.1109\/JSEN.2026.3668016},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\njournal = {IEEE Sensors Journal},\r\npages = {1-1},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>doi:10.1109\/JSEN.2026.3668016<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kanik, Timon; Fleck, Philipp; Kernbauer, Thomas; Arth, Clemens<\/p>Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware<\/a> Conference<\/span> <\/p>Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, <\/span>INSTICC <\/span>SciTePress, <\/span>2026<\/span>, ISSN: 2184-4321<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@conference{kanik26,\r\ntitle = {Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware},\r\nauthor = {Timon Kanik and Philipp Fleck and Thomas Kernbauer and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=MwG5B2dxink},\r\ndoi = {10.5220\/0014334200004084},\r\nissn = {2184-4321},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP},\r\npages = {444-455},\r\npublisher = {SciTePress},\r\norganization = {INSTICC},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {conference}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=MwG5B2dxink<\/a><\/li><\/i>doi:10.5220\/0014334200004084<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Reyes-Aviles, Fernando; Fleck, Philipp; Schmalstieg, Dieter; Arth, Clemens<\/p>Change-Resilient Localization Estimation<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 184-194, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
@article{geiger2026,\r\ntitle = {An Inexpensive Chest Belt for measuring Respiratory Effort},\r\nauthor = {Maximilian Geiger and Philipp Fleck and Clemens Arth},\r\ndoi = {10.1109\/JSEN.2026.3668016},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\njournal = {IEEE Sensors Journal},\r\npages = {1-1},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>doi:10.1109\/JSEN.2026.3668016<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kanik, Timon; Fleck, Philipp; Kernbauer, Thomas; Arth, Clemens<\/p>Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware<\/a> Conference<\/span> <\/p>Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, <\/span>INSTICC <\/span>SciTePress, <\/span>2026<\/span>, ISSN: 2184-4321<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@conference{kanik26,\r\ntitle = {Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware},\r\nauthor = {Timon Kanik and Philipp Fleck and Thomas Kernbauer and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=MwG5B2dxink},\r\ndoi = {10.5220\/0014334200004084},\r\nissn = {2184-4321},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP},\r\npages = {444-455},\r\npublisher = {SciTePress},\r\norganization = {INSTICC},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {conference}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=MwG5B2dxink<\/a><\/li><\/i>doi:10.5220\/0014334200004084<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Reyes-Aviles, Fernando; Fleck, Philipp; Schmalstieg, Dieter; Arth, Clemens<\/p>Change-Resilient Localization Estimation<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 184-194, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div><\/i>doi:10.1109\/JSEN.2026.3668016<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kanik, Timon; Fleck, Philipp; Kernbauer, Thomas; Arth, Clemens<\/p>Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware<\/a> Conference<\/span> <\/p>Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, <\/span>INSTICC <\/span>SciTePress, <\/span>2026<\/span>, ISSN: 2184-4321<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@conference{kanik26,\r\ntitle = {Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware},\r\nauthor = {Timon Kanik and Philipp Fleck and Thomas Kernbauer and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=MwG5B2dxink},\r\ndoi = {10.5220\/0014334200004084},\r\nissn = {2184-4321},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP},\r\npages = {444-455},\r\npublisher = {SciTePress},\r\norganization = {INSTICC},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {conference}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=MwG5B2dxink<\/a><\/li><\/i>doi:10.5220\/0014334200004084<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Reyes-Aviles, Fernando; Fleck, Philipp; Schmalstieg, Dieter; Arth, Clemens<\/p>Change-Resilient Localization Estimation<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 184-194, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div><\/div><\/div> Kanik, Timon; Fleck, Philipp; Kernbauer, Thomas; Arth, Clemens<\/p>Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware<\/a> Conference<\/span> <\/p>Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, <\/span>INSTICC <\/span>SciTePress, <\/span>2026<\/span>, ISSN: 2184-4321<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@conference{kanik26,\r\ntitle = {Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware},\r\nauthor = {Timon Kanik and Philipp Fleck and Thomas Kernbauer and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=MwG5B2dxink},\r\ndoi = {10.5220\/0014334200004084},\r\nissn = {2184-4321},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP},\r\npages = {444-455},\r\npublisher = {SciTePress},\r\norganization = {INSTICC},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {conference}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=MwG5B2dxink<\/a><\/li><\/i>doi:10.5220\/0014334200004084<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Reyes-Aviles, Fernando; Fleck, Philipp; Schmalstieg, Dieter; Arth, Clemens<\/p>Change-Resilient Localization Estimation<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 184-194, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Kanik, Timon; Fleck, Philipp; Kernbauer, Thomas; Arth, Clemens<\/p>
Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware<\/a> Conference<\/span> <\/p>Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, <\/span>INSTICC <\/span>SciTePress, <\/span>2026<\/span>, ISSN: 2184-4321<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@conference{kanik26,\r\ntitle = {Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware},\r\nauthor = {Timon Kanik and Philipp Fleck and Thomas Kernbauer and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=MwG5B2dxink},\r\ndoi = {10.5220\/0014334200004084},\r\nissn = {2184-4321},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP},\r\npages = {444-455},\r\npublisher = {SciTePress},\r\norganization = {INSTICC},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {conference}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=MwG5B2dxink<\/a><\/li><\/i>doi:10.5220\/0014334200004084<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Reyes-Aviles, Fernando; Fleck, Philipp; Schmalstieg, Dieter; Arth, Clemens<\/p>Change-Resilient Localization Estimation<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 184-194, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, <\/span>INSTICC <\/span>SciTePress, <\/span>2026<\/span>, ISSN: 2184-4321<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@conference{kanik26,\r\ntitle = {Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware},\r\nauthor = {Timon Kanik and Philipp Fleck and Thomas Kernbauer and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=MwG5B2dxink},\r\ndoi = {10.5220\/0014334200004084},\r\nissn = {2184-4321},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP},\r\npages = {444-455},\r\npublisher = {SciTePress},\r\norganization = {INSTICC},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {conference}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=MwG5B2dxink<\/a><\/li><\/i>doi:10.5220\/0014334200004084<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Reyes-Aviles, Fernando; Fleck, Philipp; Schmalstieg, Dieter; Arth, Clemens<\/p>Change-Resilient Localization Estimation<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 184-194, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@conference{kanik26,\r\ntitle = {Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware},\r\nauthor = {Timon Kanik and Philipp Fleck and Thomas Kernbauer and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=MwG5B2dxink},\r\ndoi = {10.5220\/0014334200004084},\r\nissn = {2184-4321},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP},\r\npages = {444-455},\r\npublisher = {SciTePress},\r\norganization = {INSTICC},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {conference}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=MwG5B2dxink<\/a><\/li><\/i>doi:10.5220\/0014334200004084<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Reyes-Aviles, Fernando; Fleck, Philipp; Schmalstieg, Dieter; Arth, Clemens<\/p>Change-Resilient Localization Estimation<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 184-194, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
@conference{kanik26,\r\ntitle = {Almost 28 Years later: Mobile Visual Search Using Large Datasets on Handheld Hardware},\r\nauthor = {Timon Kanik and Philipp Fleck and Thomas Kernbauer and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=MwG5B2dxink},\r\ndoi = {10.5220\/0014334200004084},\r\nissn = {2184-4321},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP},\r\npages = {444-455},\r\npublisher = {SciTePress},\r\norganization = {INSTICC},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {conference}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=MwG5B2dxink<\/a><\/li><\/i>doi:10.5220\/0014334200004084<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Reyes-Aviles, Fernando; Fleck, Philipp; Schmalstieg, Dieter; Arth, Clemens<\/p>Change-Resilient Localization Estimation<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 184-194, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=MwG5B2dxink<\/a><\/li><\/i>doi:10.5220\/0014334200004084<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Reyes-Aviles, Fernando; Fleck, Philipp; Schmalstieg, Dieter; Arth, Clemens<\/p>Change-Resilient Localization Estimation<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 184-194, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div><\/div><\/div> Reyes-Aviles, Fernando; Fleck, Philipp; Schmalstieg, Dieter; Arth, Clemens<\/p>Change-Resilient Localization Estimation<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 184-194, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Reyes-Aviles, Fernando; Fleck, Philipp; Schmalstieg, Dieter; Arth, Clemens<\/p>
Change-Resilient Localization Estimation<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 184-194, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 184-194, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
@inproceedings{Reyes2026,\r\ntitle = {Change-Resilient Localization Estimation},\r\nauthor = {Fernando Reyes-Aviles and Philipp Fleck and Dieter Schmalstieg and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok\r\nhttps:\/\/www.youtube.com\/watch?v=I3J351_kMko\r\n},\r\ndoi = {10.1109\/VR67842.2026.00041},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {184-194},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=gF8jGDo5Hok<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=I3J351_kMko<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00041<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div><\/div><\/div> Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Kernbauer, Thomas; Fussi, Simon; Fleck, Philipp; Arth, Clemens<\/p>
Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR<\/a> Proceedings Article<\/span> <\/p>In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
In: <\/span>2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), <\/span>pp. 239-249, <\/span>2026<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
@inproceedings{11456946,\r\ntitle = {Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR},\r\nauthor = {Thomas Kernbauer and Simon Fussi and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0\r\nhttps:\/\/www.youtube.com\/watch?v=cu0JqP5QDds},\r\ndoi = {10.1109\/VR67842.2026.00046},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\nbooktitle = {2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},\r\npages = {239-249},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=4AlrFDeEQH0<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=cu0JqP5QDds<\/a><\/li><\/i>doi:10.1109\/VR67842.2026.00046<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div><\/div><\/div> Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Haberl, Jonathan; Fleck, Philipp; Arth, Clemens<\/p>
Virtual memory for 3D Gaussian Splatting<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
In: <\/span>Computers & Graphics, <\/span>vol. 137, <\/span>pp. 104598, <\/span>2026<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
@article{HABERL2026,\r\ntitle = {Virtual memory for 3D Gaussian Splatting},\r\nauthor = {Jonathan Haberl and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695\r\nhttps:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2026.104598},\r\nissn = {0097-8493},\r\nyear = {2026},\r\ndate = {2026-01-01},\r\nurldate = {2026-01-01},\r\njournal = {Computers & Graphics},\r\nvolume = {137},\r\npages = {104598},\r\nabstract = {3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div>3D Gaussian Splatting represents a breakthrough in the field of novel view synthesis. It establishes Gaussians as core rendering primitives for highly accurate real-world environment reconstruction. Recent advances have drastically increased the size of scenes that can be created. In this work, we present a method for rendering large and complex 3D Gaussian Splatting scenes using virtual memory. By leveraging well-established virtual memory and virtual texturing techniques, our approach efficiently identifies visible Gaussians and dynamically streams them to the GPU just in time for real-time rendering. Selecting only the necessary Gaussians for both storage and rendering results in reduced memory usage and effectively accelerates rendering, especially for highly complex scenes. Furthermore, we demonstrate how level of detail can be integrated into our proposed method to further enhance rendering speed for large-scale scenes. With an optimized implementation, we highlight key practical considerations and thoroughly evaluate the proposed technique and its impact on desktop and mobile devices.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849326000695<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Km0_WmbiH_A<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2026.104598<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div><\/div><\/div>2025<\/h3> Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Tschulik, Maximilian; Kernbauer, Thomas; Fleck, Philipp; Arth, Clemens<\/p>
Spatial augmented reality for heavy machinery using laser projections<\/a> Journal Article<\/span> <\/p>In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
In: <\/span>Computers & Graphics, <\/span>pp. 104161, <\/span>2025<\/span>, ISSN: 0097-8493<\/span>.<\/p>Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
@article{TSCHULIK2025104161,\r\ntitle = {Spatial augmented reality for heavy machinery using laser projections},\r\nauthor = {Maximilian Tschulik and Thomas Kernbauer and Philipp Fleck and Clemens Arth},\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966\r\nhttps:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8},\r\ndoi = {https:\/\/doi.org\/10.1016\/j.cag.2024.104161},\r\nissn = {0097-8493},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {Computers & Graphics},\r\npages = {104161},\r\nabstract = {Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div>Operating heavy machinery is challenging and requires the full attention of the operator to perform several complex tasks simultaneously. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operators facilitate their tasks under real-world outdoor conditions. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. We showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup. Finally, we perform an accuracy evaluation and test our system hands-on in snow grooming.<\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div><\/i>https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849324002966<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=-h5ZZmGb1t8<\/a><\/li><\/i>doi:https:\/\/doi.org\/10.1016\/j.cag.2024.104161<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div><\/div><\/div> Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Fleck, Philipp; Hochortler, Michael; Kastl, David; Gotschier, Georg; Pirker, Johanna; Schmalstieg, Dieter<\/p>
CECILIA: A Toolkit for Visual Game Content Exploration and Modification<\/a> Journal Article<\/span> <\/p>In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
In: <\/span>IEEE Transactions on Games, <\/span>pp. 1-13, <\/span>2025<\/span>.<\/p>Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
@article{10839143,\r\ntitle = {CECILIA: A Toolkit for Visual Game Content Exploration and Modification},\r\nauthor = {Philipp Fleck and Michael Hochortler and David Kastl and Georg Gotschier and Johanna Pirker and Dieter Schmalstieg},\r\nurl = {https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s\r\nhttps:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s\r\nhttps:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s\r\n},\r\ndoi = {10.1109\/TG.2025.3528513},\r\nyear = {2025},\r\ndate = {2025-01-01},\r\nurldate = {2025-01-01},\r\njournal = {IEEE Transactions on Games},\r\npages = {1-13},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre><\/div>Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div><\/i>https:\/\/www.youtube.com\/watch?v=UHJx2yKrtpU&t=47s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=sU--PTqaUYc&t=230s<\/a><\/li><\/i>https:\/\/www.youtube.com\/watch?v=Q-YypabKKaI&t=7s<\/a><\/li><\/i>doi:10.1109\/TG.2025.3528513<\/a><\/li><\/ul><\/div>Close<\/a><\/p><\/div><\/div><\/div>
Close<\/a><\/p><\/div><\/div><\/div>