Latest News 

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!

Research Area 

Mission and Topics 

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:

  • Human performance capture
  • Human synthesis
  • Body, hand, and face capture
  • Physics-based capture
  • Motion synthesis and human scene interaction
  • Dynamic neural scene representations
  • Differentiable rendering

Spotlight Publications

Full list of publications can be found here


Current researchers affiliated with the GVDH Group

Dr. Marc Habermann

Research group leader

Human performance capture and synthesis
Motion capture
Hand tracking
Differentiable rendering

Heming Zhu

PhD Student

Human modeling and synthesis
Clothing reconstruction

Zhouyingcheng Liao

Master Student

Modeling and animating digital characters
Neural character skinning
Character rigging


We have open positions! Check our offers !

GVDH Group

Let's capture and synthesize detailed 4D digital humans from the real world!