Parskatt/RoMa

Health v2 · maintenance only

Adoption not part of the score

1293 stars · 137 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

RoMa (romatch) is a Python library for robust dense feature matching between image pairs, estimating pixel-dense warps and reliable certainties. It is the CVPR 2024 research code built on DINOv2 features with a transformer match decoder.

Use cases

• match keypoints between two images
• estimate dense warps between image pairs
• compute fundamental matrix from image correspondences
• 3d reconstruction from image pairs
• find correspondences in wide-baseline image pairs
• estimate camera pose from image matches

When to choose

• you need robust dense correspondences between images with large baseline or viewpoint changes
• you want state-of-the-art feature matching for SfM, SLAM, or 3D reconstruction pipelines
• you need certainty estimates to filter unreliable matches

When to avoid

• you need real-time matching on CPU or low-end hardware
• you only need simple sparse keypoint matching like SIFT/ORB
• you work outside Python or lack a GPU

Facets

library · maturity active

computer-vision image-processing machine-learning deep-learning computer-vision image-processing machine-learning python feature-matching dense-matching image-matching 3d-reconstruction cvpr-2024 dinov2 warp-estimation pose-estimation linux gpu

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