# vchoutas/smplify-x

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

Repository: https://github.com/vchoutas/smplify-x
Canonical: https://ross.abutalabs.com/products/smplify-x
Homepage: https://smpl-x.is.tue.mpg.de/
Language: Python
License: NOASSERTION
License Family: other
Last push: 2024-02-23T12:10:19+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2640, "days_push": 922, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2163, forks 374 (observed 2026-08-28T04:06:21.115141+00:00)

## What it is
SMPLify-X is the official PyTorch implementation of the CVPR 2019 paper 'Expressive Body Capture: 3D Hands, Face, and Body from a Single Image'. It fits the SMPL-X unified 3D body model (with articulated hands and expressive face) to 2D keypoints extracted from a single monocular image via optimization.

## Use cases
- estimate 3d body, hand, and face pose from a single image
- fit the smpl-x body model to openpose keypoints
- recover 3d human mesh from monocular rgb photos
- run smplify-x fitting pipeline on a folder of images
- fit smpl or smpl+h body models to 2d keypoints
- generate 3d human body meshes for research on human motion and interaction

## When to choose
- you need research-grade 3d expressive body fitting from single images
- you already have OpenPose keypoints and registered SMPL-X model files
- you want the reference implementation of the SMPLify-X optimization method

## When to avoid
- you need a commercial license - the code and models are restricted to non-commercial scientific research
- you want a fast real-time pose estimator rather than a slow per-image optimization
- you need a maintained production tool - the repo is primarily research code with limited upkeep

## Facets
- artifact type: library
- maturity: maintenance
- function: computer-vision, machine-learning, image-processing
- domain: computer-vision, machine-learning
- platform: python
- tags: 3d-human-pose, body-model, smpl-x, pose-fitting, pytorch, non-commercial-license, research-code, optimization, research, linux, macos

## Member repositories
- vchoutas/smplify-x (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:21.115141+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:50:13.055562+00:00, confidence not recorded.
  - readme: https://github.com/vchoutas/smplify-x (fetched 2026-08-28T04:06:21.115141+00:00, sha 6dffa536fe79)
  - homepage: https://smpl-x.is.tue.mpg.de/ (fetched 2026-08-29T10:30:01.132728+00:00, sha 8f885443046e)
- Data as of 2026-08-30T08:39:29.467469+00:00.