SMPL: A Skinned Multi-Person Linear Model
pdf video code/model errata
We present a learned model of human body shape and pose-dependent shape variation that is more accurate than previous models and is compatible with existing graphics pipelines. Our Skinned Multi-Person Linear model (SMPL) is a skinned vertex-based model that accurately represents a wide variety of body shapes in natural human poses. The parameters of the model are learned from data including the rest pose template, blend weights, pose-dependent blend shapes, identity-dependent blend shapes, and a regressor from vertices to joint locations. Unlike previous models, the pose-dependent blend shapes are a linear function of the elements of the pose rotation matrices. This simple formulation enables training the entire model from a relatively large number of aligned 3D meshes of different people in different poses. We quantitatively evaluate variants of SMPL using linear or dual-quaternion blend skinning and show that both are more accurate than a Blend-SCAPE model trained on the same data. We also extend SMPL to realistically model dynamic soft-tissue deformations. Because it is based on blend skinning, SMPL is compatible with existing rendering engines and we make it available for research purposes.
| Author(s): | Matthew Loper and Naureen Mahmood and Javier Romero and Gerard Pons-Moll and Michael J. Black |
| Links: | |
| Journal: | ACM Trans. Graphics (Proc. SIGGRAPH Asia) |
| Volume: | 34 |
| Number (issue): | 6 |
| Pages: | 248:1--248:16 |
| Year: | 2015 |
| Month: | October |
| Publisher: | ACM |
| Project(s): |
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| BibTeX Type: | Article (article) |
| DOI: | 10.1145/2816795.2818013 |
| Address: | New York, NY |
| Electronic Archiving: | grant_archive |
BibTeX
@article{SMPL:2015,
title = {{SMPL}: A Skinned Multi-Person Linear Model},
journal = {ACM Trans. Graphics (Proc. SIGGRAPH Asia)},
abstract = {We present a learned model of human body shape and pose-dependent shape variation that is more accurate than previous models and is compatible with existing graphics pipelines. Our Skinned Multi-Person Linear model (SMPL) is a skinned vertex-based model that accurately represents a wide variety of body shapes in natural human poses. The parameters of the model are learned from data including the rest pose template, blend weights, pose-dependent blend shapes, identity-dependent blend shapes, and a regressor from vertices to joint locations. Unlike previous models, the pose-dependent blend shapes are a linear function of the elements of the pose rotation matrices. This simple formulation enables training the entire model from a relatively large number of aligned 3D meshes of different people in different poses. We quantitatively evaluate variants of SMPL using linear or dual-quaternion blend skinning and show that both are more accurate than a Blend-SCAPE model trained on the same data. We also extend SMPL to realistically model dynamic soft-tissue deformations. Because it is based on blend skinning, SMPL is compatible with existing rendering engines and we make it available for research purposes.},
volume = {34},
number = {6},
pages = {248:1--248:16},
publisher = {ACM},
address = {New York, NY},
month = oct,
year = {2015},
author = {Loper, Matthew and Mahmood, Naureen and Romero, Javier and Pons-Moll, Gerard and Black, Michael J.},
doi = {10.1145/2816795.2818013},
month_numeric = {10}
}