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Sam3dBodyEqx β€” converted weights

Pre-converted JAX/Equinox (.eqx) weights for Sam3dBodyEqx, a pure JAX/Equinox port of Meta's SAM 3D Body for single-image full-body 3D human mesh recovery. No PyTorch runtime is needed for inference.

Files

File What it is License
sam3d_body.eqx Converted SAM 3D Body model (backbone + decoder + heads) SAM License β€” see LICENSE.component.sam-3d-body
mhr.eqx Converted Momentum Human Rig (MHR) forward-kinematics body model Apache-2.0 β€” see LICENSE.component.mhr

These are converted forms of Meta's released models; the upstream licenses are preserved and redistributed here. The SAM License is maintained for sam3d_body.eqx (no military/nuclear/espionage or ITAR use; redistributions must include the license; patent litigation terminates the grant).

Licensing summary

  • Weights (this repo): each file keeps its upstream license as in the table above.
  • Inference code (the GitHub repo): original code is AGPL-3.0-or-later. The code license does not relicense these weights β€” they remain under SAM License / Apache-2.0 respectively.

Usage

from sam3d_body_eqx.mhr.mhr_model import MHRForwardKinematics

mhr = MHRForwardKinematics.from_pretrained(
    repo_id="peabody124/Sam3dBodyEqx", filename="mhr.eqx"
)

Citations

@article{yang2025sam3dbody,
  title={SAM 3D Body: Robust Full-Body Human Mesh Recovery},
  author={Yang, Xitong and Kukreja, Devansh and Pinkus, Don and others},
  journal={arXiv preprint}, year={2025}
}
@misc{MHR:2025,
  title={MHR: Momentum Human Rig},
  author={Ferguson, Aaron and Osman, Ahmed A. A. and Bescos, Berta and others},
  year={2025}, eprint={2511.15586}, archivePrefix={arXiv}, primaryClass={cs.GR}
}
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Paper for peabody124/Sam3dBodyEqx