Thomas Wimmer
PhD Student at the Max Planck ETH Center for Learning Systems (CLS).
Hi! I am currently pursuing a PhD through the Max Planck ETH Center for Learning Systems (CLS) and ELLIS programs. My advisors are Christian Theobalt, Bernt Schiele (both MPI), and Siyu Tang (ETH).
I previously graduated from my double master’s degree at the Technical University of Munich and the Institut Polytechnique de Paris. During my studies, I have had the chance to work with various nice people, including Daniel Cremers, Maks Ovsjanikov, Peter Wonka, Michael Niemeyer, Michael Oechsle, and Federico Tombari.
My main research interests lie at the intersection of computer vision, computer graphics, and geometry processing, focusing on (dynamic) 3D scene understanding, reconstruction, and generation. However, I am always open to new ideas and collaborations in related fields. This website gives you an overview of my recent research and other projects.
news
| Nov 5, 2024 | Happy to report that my latest paper, “Gaussians-to-Life: Text-Driven Animation of 3D Gaussian Splatting Scenes”, was accepted for publication at 3DV 2025. Thanks for a great collaboration to my co-authors, Michael Oechsle, Michael Niemeyer, and Federico Tombari! |
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| Jul 27, 2024 | I recently completed and defended my Master’s thesis at TUM, marking the end of my Master’s degree in Munich. 🎓 |
| Apr 14, 2024 | I ‘ll be joining the groups of Christian Theobalt, Bernt Schiele (both MPI), and Siyu Tang (ETH) for a PhD through the Max Planck ETH Center for Learning Systems (CLS) and ELLIS program later this year. Excited for what’s to come! 🚀 |
| Feb 26, 2024 | Proud to announce that my paper Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features just got accepted to CVPR 2024. Thanks to my co-authors, Maks Ovsjanikov and Peter Wonka, for the great collaboration. |
| Nov 13, 2023 | Happy to announce that my master’s thesis at TUM will be under the supervision of Federico Tombari and in collaboration with his team at Google Research, including Michael Niemeyer and Michael Oechsle. Looking forward to this new challenge! |
| Oct 22, 2023 | I am glad to present my paper Scale-Equivariant Deep Learning for 3D Data at the first joint conference of all Konrad Zuse Schools of Excellence in AI. The poster that I am presenting in the common poster session can be found here. |
| Oct 8, 2023 | The work on in-game goal prediction that I did together with Steffen Lang, Alexander Isenko and Daniel Link was presented at the 28. Annual Conference of the Commission on Soccer of the German Association for Sports Science (dvs). I am happy to announce that it was awarded with the young researcher award of the commission. |
| Sep 15, 2023 | With the end of my internship in the group of Maks Ovsjanikov, my Master’s studies in Paris come to an end. The studies in Paris were an enriching experience, and I am very grateful for the opportunity to work with so many great people. I am now looking forward to my last semester in Munich to finish my Master’s degree there. |
| Aug 26, 2023 | Happy to announce that I was selected for one of the prestigious Konrad Zuse School of Excellence in Learning and Intelligent Systems (ELIZA) research-oriented Master’s scholarships that are awarded for outstanding talents in AI in Germany. |
| May 22, 2023 | Our paper “Language Models for German Text Simplification: Overcoming Parallel Data Scarcity through Style-specific Pre-training” has been accepted to Findings of ACL 2023 and is now available on arXiv. |
| May 17, 2023 | Our paper “Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution” is now available as a pre-print on arXiv. Check it out! |
| Apr 12, 2023 | My first first-authored paper on “Scale-Equivariant Deep Learning for 3D Data” is now available as a pre-print on arXiv. Check it out!. |