The Power of Points for Modeling Humans in Clothing
2021-10-12
PoP (Power of Points) is a point-based model for generating high-fidelity dense point clouds of humans in clothing with pose-dependent geometry. It supports modeling multiple subjects of varied body shapes and different outfit types with a single model. At test-time, given a single, static scan, the model can animate it with plausible pose-dependent deformations.
PoP (Power of Points) is a point-based model for generating high-fidelity dense point clouds of humans in clothing with pose-dependent geometry. It supports modeling multiple subjects of varied body shapes and different outfit types with a single model. At test-time, given a single, static scan, the model can animate it with plausible pose-dependent deformations.
| Author(s): | Qianli Ma, Jinlong Yang, Siyu Tang, Michael J. Black |
| Department(s): |
Perceiving Systems |
| Research Projects(s): |
Clothing Capture and Modeling |
| Publication(s): |
The Power of Points for Modeling Humans in Clothing
|
| Authors: | Qianli Ma, Jinlong Yang, Siyu Tang, Michael J. Black |
| Release Date: | 2021-10-12 |
| Repository: | https://github.com/qianlim/POP |
| External Link: | https://qianlim.github.io/POP |
