Human performance capture and synthesis Motion capture Hand tracking Differentiable rendering
2022/09/29: Marc Habermann received the DAGM MVTec Dissertation Award 2022!
2022/07/29: Neural Radiance Transfer Fields was accepted as an ECCV 2022 (Oral).
2022/07/04: One paper accepted to ECCV 2022. Updates will follow soon!
2022/06/22: Physical Inertial Poser (PIP) was selected as a best paper candidate (1.6% of accepted papers) at CVPR 2022!
2022/04/27: Marc Habermann received the Eurographics 2022 PhD Award!
2021/03/03: One paper accepted to CVPR 2022. Updates will follow soon!
2021/11/18: Website went online!
Our group conducts research at the intersection of Computer Vision, Computer Graphics, and Machine Learning. One long term goal and vision is to develop algorithms, which enable a complete analysis of dynamic and detailed humans. This, for example, involves 4D capture of the human surface, motion capture, lighting estimation, and surface appearance capture. However, not only the analysis of humans is in the focus of our research, but our group also explores new techniques for photorealistic human synthesis by combining concepts from Graphics, Vision, and Machine Learning. In summary, our research interests include but are not limited to: