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2021-05-18 GE_at_TUM

CVPR Papers Available Online Now

We’re happy to report that all three CVPR papers are online now. They cover a wide range of topics, from differentiable physics and rendering (for fluids), over learning collision free spaces (for cloth) to dynamics scenes (for neural rendering).

  • Global Transport for Fluid Reconstruction with Learned Self-Supervision
  • Neural Scene Graphs for Dynamic Scenes
  • Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On

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Paper Detailing Our Latest ConvNet-based Model for WeatherBench is Online
Source code for Navier-Stokes shape optimizations with DL surrogates

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TU Munich, Inf. 15
Boltzmannstr. 3
D-85748 Garching, Germany

Group Email 
i15ge@cs.tum.edu

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News & Notes

About the Physics-based Simulation group: The focus of our research is to combine artificial intelligence (AI / deep learning) and numerical methods for physics simulations. A particular emphasis lies on simulating fluid flows, but we are interested in all kinds of PDE-based models.

Applications: If you’re interested in PhD or Post-doc positions, please send your CV with a motivation and two to three reference letters to i15ge@cs.tum.edu.

TUM – I15 – Thuerey Group

Physics-based deep learning — plus some classical numerics, of course.

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