no code implementations • 15 Jan 2023 • Kai Jia, Hongwen Zhang, Liang An, Yebin Liu
The key components of a typical regressor lie in the feature extraction of input views and the fusion of multi-view features.
1 code implementation • 13 Jul 2022 • Hongwen Zhang, Yating Tian, Yuxiang Zhang, Mengcheng Li, Liang An, Zhenan Sun, Yebin Liu
To address these issues, we propose a Pyramidal Mesh Alignment Feedback (PyMAF) loop in our regression network for well-aligned human mesh recovery and extend it as PyMAF-X for the recovery of expressive full-body models.
Ranked #6 on 3D Human Pose Estimation on AGORA (using extra training data)
1 code implementation • CVPR 2022 • Mengcheng Li, Liang An, Hongwen Zhang, Lianpeng Wu, Feng Chen, Tao Yu, Yebin Liu
To solve occlusion and interaction challenges of two-hand reconstruction, we introduce two novel attention based modules in each upsampling step of the original GCN.
Ranked #4 on 3D Interacting Hand Pose Estimation on InterHand2.6M
3D Interacting Hand Pose Estimation Vocal Bursts Valence Prediction
no code implementations • ICCV 2021 • Yuxiang Zhang, Zhe Li, Liang An, Mengcheng Li, Tao Yu, Yebin Liu
Overall, we propose the first light-weight total capture system and achieves fast, robust and accurate multi-person total motion capture performance.
Ranked #2 on 3D Multi-Person Pose Estimation on Shelf
1 code implementation • CVPR 2020 • Yuxiang Zhang, Liang An, Tao Yu, Xiu Li, Kun Li, Yebin Liu
Our method enables a realtime online motion capture system running at 30fps using 5 cameras on a 5-person scene.
Ranked #8 on 3D Multi-Person Pose Estimation on Shelf
3 code implementations • ECCV 2018 • Shi Yan, Chenglei Wu, Lizhen Wang, Feng Xu, Liang An, Kaiwen Guo, Yebin Liu
Consumer depth sensors are more and more popular and come to our daily lives marked by its recent integration in the latest Iphone X.