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