Sebastian Weiss
Personal Homepage
Email: sebastian13.weiss (at) tum.de
About me
I am a Ph.D. candidate in the group of Rüdiger Westermann at the Technical University of Munich with expected graduation in 2022, and a fellow of the Studienstiftung des deutschen Volkes. I'm interested in computer graphics and deep learning, especially
Acceleration of 3D isosurfaces and volume rendering
Differentiable / Neural rendering
Deep learning in graphics
Publications
Sebastian Weiss, Mustafa Işık, Justus Thies, Rüdiger Westermann
TVCG 2020
[PDF] [Preprint] [BIB] [Source Code]
Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution
Sebastian Weiss, Mengyu Chu, Nils Thuerey, Rüdiger Westermann
TVCG 2019
[PDF] [Preprint] [BIB] [Source Code] [Video]
Correspondence-Free Material Reconstruction using Sparse Surface Constraints
Sebastian Weiss, Robert Maier, Daniel Cremers, Rüdiger Westermann, Nils Thuerey
CVPR 2020
[PDF] [Preprint] [BIB] [Source Code] [Video]
Triplanar Displacement Mapping for Terrain Rendering
Sebastian Weiss, Florian Bayer, Rüdiger Westermann
Eurographics 2020
[PDF] [Preprint] [BIB] [Source Code]
Teaching
Summer Term 2019 - Seminar: How to make A PIXAR movie
Summer Term 2019 - exercises for Algorithms and Datastructures for Electrical Engineering
Winter Term 2019/20 - Seminar: Data Visualization
Summer Term 2020 - Seminar: Data Visualization
Summer Term 2020 - exercises for Realtime Computer Graphics
Supervised Theses, see https://www.in.tum.de/cg/people/weiss/ for a full list
2019: 2 bachelor, 1 master theses
2020: 3 bachelor, 3 master theses
Talks
2020
June 17, 2020, Correspondence-Free Material Reconstruction using Sparse Surface Constraints, CVPR, online
October 29, 2020, Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution, IEEE VIS, online
2016
October 26, 2016, SciVis Context on Visualizing Viscous Fingers, IEEE Vis, Baltimore, USA
Tech Reports / Other Resources
PyTorch - CUDA - C++ Interop (presentation held in January 2020)
[Slides] [Source Code]Inverse Volume Rendering + Introduction to Automatic Differentiation (presentation held in November 2020)
[Slides]Volume Rendering Integral: Derivation of the Front-to-back Algorithm (tech report, December 2020)
[PDF]