SMPL
SMPL: A Skinned Multi-Person Linear Model. 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. This site provides resources to learn about SMPL, including example FBX files with animated SMPL models, and code for using SMPL in Maya. We will be rolling out support for more graphics software, more example animations, dynamic blend shapes, and SMPL for computer vision over the coming weeks.
Keywords for this software
References in zbMATH (referenced in 6 articles )
Showing results 1 to 6 of 6.
Sorted by year (- Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi: OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association (2021) arXiv
- Xin Chen, Anqi Pang, Wei Yang, Yuexin Ma, Lan Xu, Jingyi Yu: SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos (2021) arXiv
- Ranjan, Anurag; Hoffmann, David T.; Tzionas, Dimitrios; Tang, Siyu; Romero, Javier; Black, Michael J.: Learning multi-human optical flow (2020)
- Dyke, Roberto M.; Lai, Yu-Kun; Rosin, Paul L.; Tam, Gary K. L.: Non-rigid registration under anisotropic deformations (2019)
- Ji, Zhongping; Qi, Xiao; Wang, Yigang; Xu, Gang; Du, Peng; Wu, Xundong; Wu, Qing: Human body shape reconstruction from binary silhouette images (2019)
- Xiaoxiao Du; Ram Vasudevan; Matthew Johnson-Roberson: Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction (2018) arXiv