4 citations · 4 across the 6 of their papers we have counts for
6 papers
Large-scale Codec Avatars: The Unreasonable Effectiveness of Large-scale Avatar Pretraining
Junxuan Li, Rawal Khirodkar, Chengan He +37
High-quality 3D avatar modeling faces a critical trade-off between fidelity and generalization. On the one hand, multi-view studio data enables high-fidelity modeling of humans wit…
FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images
Rong Wang, Fabian Prada, Ziyan Wang +10
We present a novel method for reconstructing personalized 3D human avatars with realistic animation from only a few images. Due to the large variations in body shapes, poses, and c…
Vid2Avatar-Pro: Authentic Avatar from Videos in the Wild via Universal Prior
Chen Guo, Junxuan Li, Yash Kant +3
We present Vid2Avatar-Pro, a method to create photorealistic and animatable 3D human avatars from monocular in-the-wild videos. Building a high-quality avatar that supports animati…
URAvatar: Universal Relightable Gaussian Codec Avatars
Junxuan Li, Chen Cao, Gabriel Schwartz +5
We present a new approach to creating photorealistic and relightable head avatars from a phone scan with unknown illumination. The reconstructed avatars can be animated and relit i…
Universal Facial Encoding of Codec Avatars from VR Headsets
Shaojie Bai, Te-Li Wang, Chenghui Li +8
Faithful real-time facial animation is essential for avatar-mediated telepresence in Virtual Reality (VR). To emulate authentic communication, avatar animation needs to be efficien…
Rasterized Edge Gradients: Handling Discontinuities Differentiably
Stanislav Pidhorskyi, Tomas Simon, Gabriel Schwartz +3
Computing the gradients of a rendering process is paramount for diverse applications in computer vision and graphics. However, accurate computation of these gradients is challengin…