no code implementations • 23 Mar 2024 • Sihan Ma, Qiong Cao, Jing Zhang, DaCheng Tao
This paper addresses the problem of generating 3D interactive human motion from text.
1 code implementation • 29 Jun 2023 • Sihan Ma, Qiong Cao, Hongwei Yi, Jing Zhang, DaCheng Tao
Demystifying complex human-ground interactions is essential for accurate and realistic 3D human motion reconstruction from RGB videos, as it ensures consistency between the humans and the ground plane.
1 code implementation • 31 Mar 2022 • Sihan Ma, Jizhizi Li, Jing Zhang, He Zhang, DaCheng Tao
P3M-10k consists of 10, 421 high resolution face-blurred portrait images along with high-quality alpha mattes, which enables us to systematically evaluate both trimap-free and trimap-based matting methods and obtain some useful findings about model generalization ability under the privacy preserving training (PPT) setting.
Ranked #1 on Image Matting on P3M-10k
1 code implementation • 29 Apr 2021 • Jizhizi Li, Sihan Ma, Jing Zhang, DaCheng Tao
We systematically evaluate both trimap-free and trimap-based matting methods on P3M-10k and find that existing matting methods show different generalization capabilities when following the Privacy-Preserving Training (PPT) setting, i. e., training on face-blurred images and testing on arbitrary images.
Ranked #3 on Image Matting on P3M-10k