M.Sc. Christoph Neuhauser


Picture of Christoph Neuhauser

M.Sc. Christoph Neuhauser

Postal address

Postal:
Boltzmannstr. 3
85748 Garching b. München

Research

I am a PhD student at the group of Prof. Dr. Rüdiger Westermann. My major fields in research comprise scientific visualization and real-time rendering. Furthermore, I investigate the application of deep learning techniques in these two fields.

Topics for Bachelor and Master Theses

Currently, I have no open topics for supervision. If you are looking for a thesis at the intersection of visualization and deep learning, please contact my colleague Kevin Höhlein.

Supervised Theses

Topic Student Type of Thesis
2021    
Evaluation of Adaptive Sampling Techniques for Ray Tracing Tim Kaiser Master
Extension of Precomputed Real-time Global Illumination by Specular Reflections Berk Saribas Master
Terrain Rendering using RT Cores in Vulkan Florian Hamberger Bachelor
Optimizing Reservoir Sampling for Volumetric Path Tracing Florian Herick Master
2022    
Interactive Visualization of Optimized Material Fields via Ray-Tracing Farzaneh Bakhshaei Bachelor
Evaluation of the Effect of Relighting on Image Segmentation Han Liang IDP
Evaluation of the Performance of Raster Order Views (ROVs) on AMD GPUs (ongoing) Daniel Ziese Master

Implementation and Evaluation of Techniques for Interactive Volumetric Path Tracing (ongoing)

Timm Knörle Master
Learning Level of Detail for Point Cloud Rendering (ongoing, in collaboration with Christian Reinbold) Simon Niedermayr Master
Micropolygon Rendering for Dynamic Objects (ongoing) Umesh Ramchandani Master

 

Publications

A Comparison of Rendering Techniques for 3D Line Sets with Transparency
Michael Kern, Christoph Neuhauser, Torben Maack, Mengjiao Han, Will Usher, and Rüdiger Westermann
IEEE Transactions on Visualization and Computer Graphics, 2020
[doi] [BIB]