SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements
2021-06-22
SCALE learns a representation of 3D humans in clothing that generalizes to new body poses. SCALE is a point-based representation based on a collection of local surface elements. The code enables people to train and animate SCALE models and includes examples from the CAPE dataset.
| Author(s): | Qianli Ma, Shunsuke Saito, Jinlong Yang, Siyu Tang, and Michael J. Black |
| Department(s): |
Perceiving Systems |
| Publication(s): |
{SCALE}: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements
|
| Authors: | Qianli Ma, Shunsuke Saito, Jinlong Yang, Siyu Tang, and Michael J. Black |
| Release Date: | 2021-06-22 |
| Repository: | https://github.com/qianlim/SCALE |
