vchoutas/smplx

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2685 stars · 395 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch implementation of SMPL-X, a unified parametric 3D model of the human body with fully articulated hands and an expressive face, also supporting loading of SMPL and SMPL+H models. It provides model loading, parameter fitting utilities, and transfer code between models in the SMPL family.

Use cases

• load and evaluate the SMPL-X 3D human body model in PyTorch
• fit a 3D body model with hands and face to 2D image features
• convert between SMPL, SMPL+H, and SMPL-X model parameters
• generate 3D human meshes from pose, shape, and expression parameters
• build human pose estimation or body capture research pipelines
• render parametric 3D human avatars for research

When to choose

• you need a research-grade implementation of SMPL-X, SMPL+H, or SMPL in PyTorch
• your project involves 3D human pose, shape, or expression estimation from images
• you need to transfer parameters between models in the SMPL family
• you are doing non-commercial scientific research on expressive human capture

When to avoid

• you need a permissively licensed model for commercial products - the license restricts use to non-commercial scientific research
• you need a general-purpose 3D animation or character rigging tool rather than a parametric body model library
• you need ready-made pretrained networks that regress SMPL-X parameters from images - this repo provides the model itself, not full estimation pipelines

Facets

library · maturity maintenance

machine-learning computer-vision graphics simulation computer-vision graphics machine-learning python windows smpl 3d-human-body-model pytorch parametric-body-model non-commercial-license computer-graphics human-pose research linux macos

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For agents

markdown · JSON · MCP: product_card(name="vchoutas/smplx")