About
Dr. Marc Habermann is a Tenured Senior Researcher and Scientific Manager of the Real Virtual Lab at the Max Planck Institute for Informatics (Department 6: Visual Computing and Artificial Intelligence). He leads the Graphics and Vision for Digital Humans research group, focusing on cutting-edge technologies in Computer Vision, Computer Graphics, and Machine Learning. His work emphasizes real-time human performance capture, photorealistic animation synthesis, and generative 3D human models derived from video data.
Research Interests: Computer Vision, Computer Graphics, Machine Learning, Human Performance Capture, Non-Rigid Deformation Reconstruction, Neural Rendering, and Motion Capture. His contributions span topics like Gaussian splats optimization, sparse-view avatar synthesis, and physics-based cloth simulation.
Awards:
- Saarland University Associate Fellow (2025)
Key Publications (2025):
- Second-order Optimization of Gaussian Splats with Importance Sampling (arXiv)
- GIGA: Generalizable Sparse Image-driven Gaussian Avatars (arXiv)
- EVA: Expressive Virtual Avatars from Multi-view Videos (Siggraph 2025)
Labs & Projects:
Manages the Real Virtual Lab and heads the Graphics and Vision for Digital Humans group, advancing technologies for digital human avatars and immersive telepresence systems.
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