6 papers · 1 filter
MUA: Mobile Ultra-detailed Animatable Avatars
Heming Zhu, Guoxing Sun, Marc Habermann
Building photorealistic, animatable full-body digital humans remains a longstanding challenge in computer graphics and vision. Recent advances in animatable avatar modeling have la…
UMA: Ultra-detailed Human Avatars via Multi-level Surface Alignment
Heming Zhu, Guoxing Sun, Christian Theobalt +1
Learning an animatable and clothed human avatar model with vivid dynamics and photorealistic appearance from multi-view videos is an important foundational research problem in comp…
Real-time Free-view Human Rendering from Sparse-view RGB Videos using Double Unprojected Textures
Guoxing Sun, Rishabh Dabral, Heming Zhu +3
Real-time free-view human rendering from sparse-view RGB inputs is a challenging task due to the sensor scarcity and the tight time budget. To ensure efficiency, recent methods lev…
EVA: Expressive Virtual Avatars from Multi-view Videos
Hendrik Junkawitsch, Guoxing Sun, Heming Zhu +2
With recent advancements in neural rendering and motion capture algorithms, remarkable progress has been made in photorealistic human avatar modeling, unlocking immense potential f…
Holoported Characters: Real-time Free-viewpoint Rendering of Humans from Sparse RGB Cameras
Ashwath Shetty, Marc Habermann, Guoxing Sun +3
We present the first approach to render highly realistic free-viewpoint videos of a human actor in general apparel, from sparse multi-view recording to display, in real-time at an…
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering
Guoxing Sun, Rishabh Dabral, Pascal Fua +2
Faithful human performance capture and free-view rendering from sparse RGB observations is a long-standing problem in Vision and Graphics. The main challenges are the lack of obser…