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 / netidee Projektförderung -
Instant Visualization and Interaction for Large Point Clouds
2023 – 2026 / Vienna Science and Technology Fund (WWTF)
Publications: 189596 / 195927
Publications
- 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
- Rendering Point Clouds with Compute Shaders / Schütz, M., & Wimmer, M. (2019). Rendering Point Clouds with Compute Shaders. ACM Siggraph Asia, Yokohama, Japan, Non-EU. 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, Non-EU. 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, Non-EU. proceedings.com. https://doi.org/10.1109/vr.2019.8797760
- Progressive Real-Time Rendering of One Billion Points Without Hierarchical Acceleration Structures / Schütz, M., Wimmer, M., Mandlburger, G., & Otepka-Schremmer, J. (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
- 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, USA, Non-EU. 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)