140 citations · 181 across the 9 of their papers we have counts for
9 papers
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…
CloSET: Modeling Clothed Humans on Continuous Surface with Explicit Template Decomposition
Hongwen Zhang, Siyou Lin, Ruizhi Shao +5
Creating animatable avatars from static scans requires the modeling of clothing deformations in different poses. Existing learning-based methods typically add pose-dependent deform…
PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images
Hongwen Zhang, Yating Tian, Yuxiang Zhang +4
We present PyMAF-X, a regression-based approach to recovering parametric full-body models from monocular images. This task is very challenging since minor parametric deviation may…
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…
Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection
Yuxiang Zhang, Sachin Mehta, Anat Caspi
Semantic segmentation aims to robustly predict coherent class labels for entire regions of an image. It is a scene understanding task that powers real-world applications (e.g., aut…
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…
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
He Wen, Shuchang Zhou, Zhe Liang +4
Fully convolutional neural networks give accurate, per-pixel prediction for input images and have applications like semantic segmentation. However, a typical FCN usually requires l…