naver/mast3r

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

3088 stars · 280 forks observed · 2026-08-28

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

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For agents

markdown · JSON · MCP: product_card(name="naver/mast3r")