activity
20202023
most citedMulayCap: Multi-layer Human Performance Capture Using A Monocular Video Camera

29 citations · 34 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 1 cited

StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Video

Lizhen Wang, Xiaochen Zhao, Jingxiang Sun +4

Face reenactment methods attempt to restore and re-animate portrait videos as realistically as possible. Existing methods face a dilemma in quality versus controllability: 2D GAN-b…

cs.CV2023

Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting

Ruichen Zheng, Peng Li, Haoqian Wang +1

Detailed 3D reconstruction and photo-realistic relighting of digital humans are essential for various applications. To this end, we propose a novel sparse-view 3d human reconstruct…

cs.CV2021★ 4 cited

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…

cs.CV2020

Robust 3D Self-portraits in Seconds

Zhe Li, Tao Yu, Chuanyu Pan +2

In this paper, we propose an efficient method for robust 3D self-portraits using a single RGBD camera. Benefiting from the proposed PIFusion and lightweight bundle adjustment algor…

cs.CV2020★ 29 cited

MulayCap: Multi-layer Human Performance Capture Using A Monocular Video Camera

Zhaoqi Su, Weilin Wan, Tao Yu +4

We introduce MulayCap, a novel human performance capture method using a monocular video camera without the need for pre-scanning. The method uses "multi-layer" representations for…