MMHuman3D
Build and benchmark parametric 3D human models with OpenMMLab's MMHuman3D toolbox.
About MMHuman3D
MMHuman3D is an open-source PyTorch-based codebase from OpenMMLab for using 3D human parametric models in computer vision and computer graphics. It offers a modular framework and benchmark for reproducing methods, aligning datasets and visualizing results, intended to serve the growing research community. The main branch works with PyTorch 1.7+, some supported methods may carry additional licenses, and multi-view motion capture users are referred to XRMoCap.
Pricing is not clearly stated.
Key features
- Reimplements popular methods to reproduce SOTAs with one line of code
- Unified HumanData format aligns supported datasets with preprocessed files available
- Visualization tools for model rendering including part segmentation, depth map and point clouds
- Visualization of conventional 2D and 3D keypoints
- Supports SMPL, SMPL-X, MANO, FLAME and STAR body models
- Supports SMPL-X estimation with ExPose for simultaneous recovery of face, hands and body
Best for: Growing research community working with 3D human parametric models
MMHuman3D at a glance
- Category
- Design & Creative › Video Editing & Animation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 23, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Video Editing & Animation
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