Modeling animatable human avatars from RGB videos is a long-standing and challenging
problem. Recent works usually adopt MLP-based neural radiance fields (NeRF) to represent …

The ability to create realistic animatable and relightable head avatars from casual video
sequences would open up wide ranging applications in communication and entertainment …

Modeling and rendering photorealistic avatars is of crucial importance in many applications.
Existing methods that build a 3D avatar from visual observations, however, struggle to …

Obtaining personalized 3D animatable avatars from a monocular camera has several real
world applications in gaming, virtual try-on, animation, and VR/XR, etc. However, it is very …

Recent years have witnessed significant progress in the field of neural surface
reconstruction. While extensive focus was put on volumetric and implicit approaches, a …

In this paper, we propose a novel hybrid representation and end-to-end trainable network
architecture to model fully editable and customizable neural avatars. At the core of our work …

Creating animatable avatars from static scans requires the modeling of clothing
deformations in different poses. Existing learning-based methods typically add pose …

While modeling people wearing tight-fitting clothing has made great strides in recent years
loose-fitting clothing remains a challenge. We propose a method that delivers realistic …

Learning 3D shape representation with dense correspondence for deformable objects is a
fundamental problem in computer vision. Existing approaches often need additional …

Recent progress in human shape learning shows that neural implicit models are effective in
generating 3D human surfaces from limited number of views and even from a single RGB …