facebookresearch/sam-3d-body
The repository provides code for running inference with the SAM 3D Body Model (3DB), links for downloading the trained model checkpoints and datasets, and example notebooks that show how to use the model. observed · 2026-08-28
Health v2 · maintenance only
48/100
- Activity 68
- Release rhythm 35
- Longevity 28
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 400
- days_rel: n/a
- days_push: 195
- n_releases_24m: 0
Adoption not part of the score
3461 stars · 418 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
SAM 3D Body is a promptable model for single-image full-body 3D human mesh recovery (HMR), estimating body, feet, and hand pose using the Momentum Human Rig parametric mesh representation. This repository provides inference code, model checkpoints, datasets, and example notebooks for using the model.
Use cases
- recover 3d human mesh from a single photo
- estimate full-body pose including hands and feet from images
- run promptable human mesh recovery with keypoints or masks
- download pretrained 3d body model checkpoints
- reconstruct 3d human body from in-the-wild images
When to choose
- you need state-of-the-art single-image 3D human mesh recovery
- you want promptable inference guided by 2D keypoints or masks
- you need robust generalization to diverse in-the-wild images
- you want a parametric body model with decoupled skeleton and shape
When to avoid
- you need multi-person video tracking rather than single-image recovery
- you require a permissive open-source license (license is custom)
- you need real-time on-device inference on constrained hardware
- you want 3D reconstruction of objects rather than human bodies
Facets
library · maturity active
machine-learning computer-vision image-processing computer-vision deep-learning artificial-intelligence python human-mesh-recovery 3d-pose-estimation inference segment-anything meta-ai model-checkpoints gpu
1 source
- readme: https://github.com/facebookresearch/sam-3d-body · fetched 2026-08-28 · 983e4cfd87e6
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| facebookresearch/sam-3d-body | main | 48 |
For agents
markdown · JSON · MCP: product_card(name="facebookresearch/sam-3d-body")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem