Unlike previous models, the pose-dependent blend shapes are a linear function of the elements of the pose rotation matrices. 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. 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. Please send your queries to: or 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. The original 300-dimension shape space of SMPL and related models (MANO, SMPL+H, SMPL-X) is available upon request. You can download SMPL with up to 16 shape components, and in several standard versions (male, female, gender neutral). Please find more information for these at the links below: SMPL is also available with articulated hands and expressive faces, and can be estimated from images. For the latest upgrade to SMPL, check out the STAR Model (ECCV 2020) here: After registration you will be able to access the Downloads menu at the top menubar.
Please register to download SMPL and related tools for using SMPL in different animation environments. This site provides resources to learn about SMPL, including example FBX files with animated SMPL models, and code for using SMPL in Python, Maya and Unity. SMPL is a realistic 3D model of the human body that is based on skinning and blend shapes and is learned from thousands of 3D body scans.
0 kommentar(er)
