55 citations · 91 across the 10 of their papers we have counts for
10 papers · 1 filter
FiCA: Feed-forward instant Gaussian Codec Avatars from a Single Portrait Image
Kim Youwang, Zhengyu Yang, Liuhao Ge +8
We introduce FiCA, a Feed-forward, instant Gaussian Codec Avatar generation pipeline that creates lifelike avatars from a single portrait image. Generating a photorealistic and dri…
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…
Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis
Jingbo Wang, Yu Rong, Jingyuan Liu +3
The ability to synthesize long-term human motion sequences in real-world scenes can facilitate numerous applications. Previous approaches for scene-aware motion synthesis are const…
Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements
Yu Rong, Jingbo Wang, Ziwei Liu +1
3D interacting hand reconstruction is essential to facilitate human-machine interaction and human behaviors understanding. Previous works in this field either rely on auxiliary inp…
VoteHMR: Occlusion-Aware Voting Network for Robust 3D Human Mesh Recovery from Partial Point Clouds
Guanze Liu, Yu Rong, Lu Sheng
3D human mesh recovery from point clouds is essential for various tasks, including AR/VR and human behavior understanding. Previous works in this field either require high-quality…
FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration
Yu Rong, Takaaki Shiratori, Hanbyul Joo
Most existing monocular 3D pose estimation approaches only focus on a single body part, neglecting the fact that the essential nuance of human motion is conveyed through a concert…
Chasing the Tail in Monocular 3D Human Reconstruction with Prototype Memory
Yu Rong, Ziwei Liu, Chen Change Loy
Deep neural networks have achieved great progress in single-image 3D human reconstruction. However, existing methods still fall short in predicting rare poses. The reason is that m…
FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration
Yu Rong, Takaaki Shiratori, Hanbyul Joo
Although the essential nuance of human motion is often conveyed as a combination of body movements and hand gestures, the existing monocular motion capture approaches mostly focus…
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
Yu Rong, Ziwei Liu, Cheng Li +2
Though much progress has been achieved in single-image 3D human recovery, estimating 3D model for in-the-wild images remains a formidable challenge. The reason lies in the fact tha…
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
Kaidi Cao, Yu Rong, Cheng Li +2
Face recognition achieves exceptional success thanks to the emergence of deep learning. However, many contemporary face recognition models still perform relatively poor in processi…