6 citations · 10 across the 3 of their papers we have counts for
4 papers
Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras
Yuxiang Zhang, Zhe Li, Liang An +3
Multi-person total motion capture is extremely challenging when it comes to handle severe occlusions, different reconstruction granularities from body to face and hands, drasticall…
DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras
Yang Zheng, Ruizhi Shao, Yuxiang Zhang +4
We propose DeepMultiCap, a novel method for multi-person performance capture using sparse multi-view cameras. Our method can capture time varying surface details without the need o…
Geometry-guided Dense Perspective Network for Speech-Driven Facial Animation
Jingying Liu, Binyuan Hui, Kun Li +5
Realistic speech-driven 3D facial animation is a challenging problem due to the complex relationship between speech and face. In this paper, we propose a deep architecture, called…
4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
Yuxiang Zhang, Liang An, Tao Yu +3
This paper contributes a novel realtime multi-person motion capture algorithm using multiview video inputs. Due to the heavy occlusions in each view, joint optimization on the mult…