Sebastian Weiss

Personal Homepage

Email: sebastian13.weiss (at)


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


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]

Visual Exploration of Circulation Rolls in Convective Heat Flows

A. Frasson, M. Ender, S. Weiss, M. Kanzler, A. Pandey, J. Schumacher, R. Westermann

IEEE Pacific Visualization 2019

[PDF] [Preprint] [BIB]


Supervised Theses, see for a full list

  • 2019: 2 bachelor, 1 master theses

  • 2020: 3 bachelor, 3 master theses



  • 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


  • 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)

  • Volume Rendering Integral: Derivation of the Front-to-back Algorithm (tech report, December 2020)