naver/mast3r
Some data may be outdated — see provenance labels.
Grounding Image Matching in 3D with MASt3R observed · 2026-09-22
Health v2 · maintenance only
34/100
- Activity 21
- Release rhythm 35
- Longevity 61
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 858
- days_rel: n/a
- days_push: 477
- n_releases_24m: 0
Adoption not part of the score
3114 stars · 284 forks observed · 2026-09-22
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
MASt3R is the official PyTorch implementation of 'Grounding Image Matching in 3D with MASt3R' (ECCV 2024), a model that performs dense 3D reconstruction and pixel-accurate image matching from unconstrained image pairs. It builds on DUSt3R and includes tooling for structure-from-motion (MASt3R-SfM), visual localization, and an interactive demo.
Use cases
- match keypoints between two images with 3D grounding
- reconstruct 3D point clouds from image pairs
- run structure-from-motion on unordered photo collections
- visual localization against a known 3D scene
- try a demo of 3D reconstruction from photos
- train or fine-tune a 3D matching model on custom datasets
When to choose
- you need dense correspondence or 3D point clouds from sparse, unconstrained image sets
- you want a research-grade SfM or visual-localization pipeline built on DUSt3R
- you have a GPU and can work in Python/PyTorch
When to avoid
- you need a permissively licensed library for commercial products (CC BY-NC-SA 4.0, non-commercial only)
- you need a lightweight CPU-only matcher for production pipelines
- you want a turnkey photogrammetry app rather than a research codebase
Facets
library · maturity active
computer-vision image-processing machine-learning deep-learning computer-vision machine-learning deep-learning python 3d-reconstruction image-matching structure-from-motion visual-localization stereo point-clouds pytorch non-commercial-license research linux gpu docker
1 source
- readme: https://github.com/naver/mast3r · fetched 2026-09-22 · 0a80be257ca6
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| naver/mast3r | main | 34 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem