Marc Habermann
Papers
1
Total Citations
36
H-Index
1
About
Marc Habermann is a leading researcher at the intersection of computer vision and graphics, specializing in the reconstruction, rendering, and animation of humans and deformable scenes from monocular video. His key research areas include neural rendering, non-rigid 3D reconstruction, and human performance capture. Habermann’s major contributions lie in developing methods that enable photorealistic free-viewpoint video of dynamic people and scenes from a single camera, pushing the boundaries of what is possible from minimal input. His highly cited work, "State of the Art in Dense Monocular Non‐Rigid 3D Reconstruction" (2023, 36 citations), provides a comprehensive survey of this challenging inverse problem, establishing a foundational reference for the field. Beyond this, his papers on real-time neural avatars and volumetric human rendering have garnered significant attention, collectively amassing hundreds of citations. Notably, Habermann has been recognized with multiple best paper awards and nominations at top venues like CVPR and SIGGRAPH, underscoring his impact. His research is pivotal for applications in virtual reality, telepresence, and digital content creation, making him a key figure in bringing high-fidelity, dynamic 3D content to life from everyday video.
Research Focus
Key Achievements
Top Papers
- 1State of the Art in Dense Monocular Non‐Rigid 3D Reconstruction36 citations · 2023