facebookresearch

    facebookresearch/MHR

    Momentum Human Rig is an anatomically-inspired parametric full-body digital human model developed at Meta. It includes: A parametric body skeletal model; A realistic 3D mesh skinned to the skeleton with levels of detail;A body blendshape and pose corrective model; A facial blendshape model.Its design is friendly for both CG and CV communities.

    backend
    Python
    Apache-2.0
    888 stars
    81 forks
    888 GitHub watchers
    Updated Oct 31, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 348 days ago, with 8 contributors on GitHub.

    Use Cases & Benefits

    • Provides a parametric 3D full-body human model with detailed identity, pose, and facial expression controls.
    • Enables high-fidelity, anatomically-inspired human mesh generation with GPU acceleration and multiple levels of detail.
    • Use for creating realistic digital human avatars in computer graphics and animation pipelines.
    • Use for developing computer vision systems requiring accurate human pose and shape estimation.
    • Use for research and development of neural pose-corrective models integrated with PyTorch for real-time applications.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

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    From the README

    A minimal Python package for the Momentum Human Rig - a parametric 3D human body model with identity, pose, and facial expression parameterization.

    Excerpt from the facebookresearch/MHR README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    81+9

    Open issues

    14+0

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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