Rüdiger Westermann
Professor
Develops efficient algorithms for real-time photorealistic rendering, scientific visualization and interactive visual data analysis, including neural representations.
Rüdiger Westermann's lab at TUM works on rendering & appearance, visualization & visual analytics and efficient training & inference. 18 papers since 2023, 4 at top venues, mostly CVPR and TVCG. 4 PhD students. 42 alumni.
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 22%
- PhD students
- 4
- MS students
- 0
- alumni listed
- 42
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 6 papers2025 · T1 2
- 9 papers2024 · T1 2
- 2 papers2023 · T1 0
T1 venuesOtherVenues: CVPR, TVCG, CGF, Computers & Graphics, ICCV
Research focuspaper titles that use each topic's words
- Visualization & visual analytics3 papers
- Efficient training & inference3 papers
- Rendering & appearance0 papers
- photorealistic0 papers
- neural representations0 papers
Paper list
From the lab homepage.
20261 paper
- Symposium on Computational FabricationSpeedy Stress-Scaled Sheet Structure Synthesis (opens in a new tab)
20256 papers
- Structural and Multidisciplinary OptimizationEfficient Large-Scale 3D Topology Optimization with Matrix-free MATLAB Code (opens in a new tab)
- WACV'25Inpaint360GS: Efficient Object-Aware 3D Inpainting via Gaussian Splatting for 360° Scenes (opens in a new tab)
- CVPR (T1)Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes (opens in a new tab)
- ICCV (T1)Lightweight Gradient-Aware Upscaling of 3D Gaussian Splatting Images (opens in a new tab)
- TVCGSGLDBench: A Benchmark Suite for Stress-Guided Lightweight 3D Designs (opens in a new tab)
- Computer Methods in Applied Mechanics and EngineeringTopology-aware Stress Analysis in Shell Structures (opens in a new tab)
20249 papers
- SSDBMA Compact and Efficient Neural Data Structure for Mutual Information Estimation in Large Timeseries (opens in a new tab)
- TVCGAdaptive Sampling of 3D Spatial Correlations for Focus+Context Visualization (opens in a new tab)
- NeurIPS (T1)APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs (opens in a new tab)
- VMVApplication of 3D Gaussian Splatting for Cinematic Anatomy on Consumer Class Devices (opens in a new tab)
- CVPR (T1)Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis (opens in a new tab)
- Computer Methods in Applied Mechanics and EngineeringDesign and optimization of functionally-graded triangular lattices for multiple loading conditions (opens in a new tab)
- Computers & GraphicsImage-based Reconstruction of Heterogeneous Media in the Presence of Multiple Light-Scattering (opens in a new tab)
- Artificial Intelligence for the Earth SystemsPostprocessing of Ensemble Weather Forecasts Using Permutation-Invariant Neural Networks (opens in a new tab)
- CGFStress-Aligned Hexahedral Lattice Structures (opens in a new tab)
Where alumni went42 listed
Apply to TUMRolling
Not announced yet
Computer Science Doctorate (CIT)
- Round
- Rolling (position-based)
- Opens
- —
- GRE
- See program page
- English
- Very good written and spoken English; no minimum test score
- Fee
- See program page
Confirmed on the program page.
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Data
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- The lab homepage
- Members
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Tiers are venue classifications, not lab rankings.