SMPL: A Skinned Multi-Person Linear Model (SIGGRAPH Asia 2015)

30 October 2015

06:28

Loper, M., Mahmood, N., Romero, J.. Pons-Moll, G., Black, M.J., ACM Trans. Graphics (Proc. SIGGRAPH Asia), 34(6):248:1-248:16, October 2015 model: http://smpl.is.tue.mpg.de/ pdf: http://files.is.tue.mpg.de/black/papers/SMPL2015.pdf 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.