SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks
SCANimate is an end-to-end trainable framework that takes raw 3D scans of a clothed human and turns them into an animatable avatar. These avatars are driven by pose parameters and have realistic clothing that moves and deforms naturally. SCANimate uses an implicit shape representation and does not rely on a customized mesh template or surface mesh registration.
SCANimate is an end-to-end trainable framework that takes raw 3D scans of a clothed human and turns them into an animatable avatar. These avatars are driven by pose parameters and have realistic clothing that moves and deforms naturally. SCANimate uses an implicit shape representation and does not rely on a customized mesh template or surface mesh registration.
| Release Date: | 21 June 2021 |
| licence_type: | PS:License 1.0 |
| Authors: | Saito, S., Yang, J., Ma, Q., Black, M. J. |
| Repository: | https://github.com/shunsukesaito/SCANimate |