# geopavlakos/hamer

HaMeR: Reconstructing Hands in 3D with Transformers

Repository: https://github.com/geopavlakos/hamer
Canonical: https://ross.abutalabs.com/products/hamer
Homepage: https://geopavlakos.github.io/hamer/
Language: Python
License: MIT
License Family: permissive
Last push: 2026-02-07T18:04:04+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 66, release rhythm 35, longevity 71
- inputs: {"age_days": 999, "days_push": 207, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1124, forks 165 (observed 2026-08-28T04:03:40.715878+00:00)

## What it is
HaMeR (Hand Mesh Recovery) is a transformer-based model that reconstructs 3D hand meshes from single monocular images using the MANO parametric hand model. It is the official research code release for the CVPR 2024 paper 'Reconstructing Hands in 3D with Transformers', including trained models, demo scripts, and an evaluation pipeline.

## Use cases
- reconstruct 3d hand meshes from images
- estimate 3d hand pose from a single photo
- run hand pose estimation on video frames
- evaluate hand reconstruction models on benchmarks
- demo 3d hand reconstruction in a browser or colab
- research hand-object interaction reconstruction

## When to choose
- you need state-of-the-art monocular 3D hand mesh reconstruction
- your images contain occlusions, truncations, or hands interacting with objects
- you want MANO model parameters as output for downstream 3D work
- you are doing computer vision research on hand pose

## When to avoid
- you need real-time full-body pose estimation rather than hands only
- you cannot obtain the MANO model, which requires registration on the MANO website
- you need a production-ready API or service rather than research code
- you lack a GPU, since the ViT-based model is compute-heavy

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, computer-vision, image-processing
- domain: computer-vision, machine-learning, deep-learning
- platform: python
- tags: hand-mesh-recovery, 3d-reconstruction, transformer, mano, pose-estimation, research-code, cvpr-2024, gpu, docker, linux

## Member repositories
- geopavlakos/hamer (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:40.715878+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 2026-08-30T06:39:38.740141+00:00, confidence not recorded.
  - readme: https://github.com/geopavlakos/hamer (fetched 2026-08-28T04:03:40.715878+00:00, sha 276e0dc69255)
  - homepage: https://geopavlakos.github.io/hamer/ (fetched 2026-08-29T12:44:13.728120+00:00, sha b01c8bcf2ffd)
- Data as of 2026-08-30T08:39:29.467469+00:00.