Markus Schütz
Projektass. Dipl.-Ing. Dr.techn. / BSc
Role
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PostDoc Researcher
Computer Graphics, E193-02
Projects
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Bringing Point Clouds to WebGPU
2024 – 2025 / netidee Projektförderung -
Instant Visualization and Interaction for Large Point Clouds
2023 – 2026 / Vienna Science and Technology Fund (WWTF)
Publications: 189596 / 195927 / 198651 / 199275 / 208716 / 215609 / 216694 / 216864
Publications
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Splatshop: Efficiently Editing Large Gaussian Splat Models
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Schütz, M., Peters, C., Hahlbohm, F., Eisemann, E., Magnor, M., & Wimmer, M. (2025). Splatshop: Efficiently Editing Large Gaussian Splat Models. Computer Graphics Forum, 44(8). https://doi.org/10.1111/cgf.70214
Project: IVILPC (2023–2026) -
LidarScout: Direct Out-of-Core Rendering of Massive Point Clouds
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Erler, P., Herzberger, L., Wimmer, M., & Schütz, M. (2025). LidarScout: Direct Out-of-Core Rendering of Massive Point Clouds. In High-Performance Graphics 2025. High-Performance Graphics 2025, Koppenhagen, Denmark. the Eurographics Association. https://doi.org/10.2312/hpg.20251170
Project: IVILPC (2023–2026) - Real-Time Decompression and Rasterization of Massive Point Clouds / Goel, R., Schütz, M., Narayanan, P. J., & Kerbl, B. (2024). Real-Time Decompression and Rasterization of Massive Point Clouds. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 7(3), 1–15. https://doi.org/10.1145/3675373
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SimLOD: Simultaneous LOD Generation and Rendering for Point Clouds
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Schütz, M., Herzberger, L., & Wimmer, M. (2024). SimLOD: Simultaneous LOD Generation and Rendering for Point Clouds. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 7(1), Article 17. https://doi.org/10.1145/3651287
Download: SimLOD: Simultaneous LOD Generation and Rendering for Point Clouds (5.67 MB)
Projects: IVILPC (2023–2026) / LargeClouds2BIM (2020–2022) -
Fast Rendering of Parametric Objects on Modern GPUs
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Unterguggenberger, J., Lipp, L., Wimmer, M., Kerbl, B., & Schütz, M. (2024). Fast Rendering of Parametric Objects on Modern GPUs. In EGPGV24: Eurographics Symposium on Parallel Graphics and Visualization. Eurographics Symposium on Parallel Graphics and Visualization (2024), Odense, Denmark. The Eurographics Association. https://doi.org/10.2312/pgv.20241129
Project: IVILPC (2023–2026) - GPU‐Accelerated LOD Generation for Point Clouds / Schütz, M., Kerbl, B., Klaus, P., & Wimmer, M. (2023). GPU‐Accelerated LOD Generation for Point Clouds. Computer Graphics Forum, 42(8), Article e14877. https://doi.org/10.1111/cgf.14877
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Software rasterization of 2 billion points in real time
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Schütz, M., Kerbl, B., & Wimmer, M. (2022). Software rasterization of 2 billion points in real time. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 5(3), 1–17. https://doi.org/10.1145/3543863
Download: PDF (7 MB) -
Interactive exploration of point clouds
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Schütz, M. (2021). Interactive exploration of point clouds [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.91668
Download: PDF (4.52 MB) - Rendering Point Clouds with Compute Shaders and Vertex Order Optimization / Schütz, M., Kerbl, B., & Wimmer, M. (2021). Rendering Point Clouds with Compute Shaders and Vertex Order Optimization. In Computer Graphics Forum (pp. 115–126). Eurographics Association. https://doi.org/10.1111/cgf.14345
- Fast Out‐of‐Core Octree Generation for Massive Point Clouds / Schütz, M., Ohrhallinger, S., & Wimmer, M. (2020). Fast Out‐of‐Core Octree Generation for Massive Point Clouds. Computer Graphics Forum, 39(7), 155–167. https://doi.org/10.1111/cgf.14134
- Progressive Real‐Time Rendering of One Billion Points Without Hierarchical Acceleration Structures / Schütz, M., Mandlburger, G., Otepka, J., & Wimmer, M. (2020). Progressive Real‐Time Rendering of One Billion Points Without Hierarchical Acceleration Structures. Computer Graphics Forum, 39(2), 51–64. https://doi.org/10.1111/cgf.13911
- Progressive Real-Time Rendering of One Billion Points Without Hierarchical Acceleration Structures / Schütz, M., Mandlburger, G., Otepka-Schremmer, J., & Wimmer, M. (2019). Progressive Real-Time Rendering of One Billion Points Without Hierarchical Acceleration Structures (TR-193-02-2019-4). http://hdl.handle.net/20.500.12708/39813
- Rendering Point Clouds with Compute Shaders / Schütz, M., & Wimmer, M. (2019). Rendering Point Clouds with Compute Shaders. ACM Siggraph Asia, Brisbane, Australia. http://hdl.handle.net/20.500.12708/86947
- Real-Time Continuous Level of Detail Rendering of Point Clouds / Schütz, M., Krösl, K., & Wimmer, M. (2019). Real-Time Continuous Level of Detail Rendering of Point Clouds. In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). Ieee Vr 2019, Osaka, Japan. https://doi.org/10.1109/vr.2019.8798284
- Live Coding of a VR Render Engine in VR / Schütz, M., & Wimmer, M. (2019). Live Coding of a VR Render Engine in VR. In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE Conference on Virtual Reality and 3D User Interfaces 2019, Osaka, Japan. proceedings.com. https://doi.org/10.1109/vr.2019.8797760
- Progressive real-time rendering of unprocessed point clouds / Schuetz, M., & Wimmer, M. (2018). Progressive real-time rendering of unprocessed point clouds. In ACM SIGGRAPH 2018 Posters. ACM Siggraph, San Francisco, United States of America (the). https://doi.org/10.1145/3230744.3230816
- High-Quality Point-Based Rendering Using Fast Single-Pass Interpolation / Schütz, M., & Wimmer, M. (2015). High-Quality Point-Based Rendering Using Fast Single-Pass Interpolation. In Digital Heritage 2015 (pp. 1–4). http://hdl.handle.net/20.500.12708/56134
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Potree: rendering large point clouds in web browsers
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Schütz, M. (2015). Potree: rendering large point clouds in web browsers [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2015.27710
Download: PDF (3.13 MB)
Supervisions
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In-core level-of-detail generation for point clouds on GPUs using CUDA
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Klaus, P. (2023). In-core level-of-detail generation for point clouds on GPUs using CUDA [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.85541
Download: PDF (3.62 MB)