Max Piochowiak, M.Sc.
- Office Hours: via E-Mail
- Room: 140
CS 50.34 - max piochowiak ∂does-not-exist.kit edu
Am Fasanengarten 5, Gebäude 50.34, 1. OG, 76131 Karlsruhe, Germany
Fast Compressed Segmentation Volumes for Scientific Visualization |
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Max Piochowiak, Carsten Dachsbacher IEEE Vis 2023 (to appear) Best Paper Award |
Minimal Convolutional Neural Networks for Temporal Anti Aliasing |
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Killian Herveau, Max Piochowiak, Carsten Dachsbacher High-Performance Graphics - Symposium Papers, 2023 |
Stochastic Volume Rendering of Multi-Phase SPH Data |
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Max Piochowiak, Tobias Rapp, Carsten Dachsbacher Computer Graphics Forum, 40(1), 2021: 97-109. |
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Helmholtz Information & Data Science School for Health (HIDSS4Health) |
| ZIM Project | Neural Networks for Temporal Anti-Aliasing with Enscape |
| 2023 | Sparse voxel DAGs for Segmented Volumes | Master Thesis |
| 2022 | Ambient Occlusion for Cell Growth Voxel Data | Bachelor Thesis |
| 2022 | Optimizing interval trees for parallelized marching cubes | Bachelor Thesis |
| 2022 | SGGX Microflake Distributions for Direct Volume Visualization | Master Thesis |
| 2022 | Volumetric Compression for Cell Growth Simulations | Bachelor Thesis |
| 2021 | Fast Velocity Computation and Denoising of Monte Carlo Renderings | Master Thesis |
| 2021 | Visualizing Particles with Dye Injection | Bachelor Thesis |
| 2023 | Übung zur Vorlesung Visualisierung | |
| 2022 | Proseminar Algorithmen für Computerspiele | |
| 2022 | Übung zur Vorlesung Visualisierung | |
| 2021 | Proseminar Algorithmen für Computerspiele | |
| 2021 | Übung zur Vorlesung Visualisierung | |
| 2020 | Übung zur Vorlesung Computergrafik (Fakultätsauszeichnung als beste Pflichtübung) | |
| 2020 | Übung zur Vorlesung Visualisierung |