# UniFlowMatch/UFM

<https://repo.masters-masters.com/en/repos/UniFlowMatch/UFM>

[Home](https://repo.masters-masters.com/en) › [UniFlowMatch](https://repo.masters-masters.com/en/owners/UniFlowMatch) › [UFM](https://repo.masters-masters.com/en/repos/UniFlowMatch/UFM)

UniFlowMatch/UFM has 360 stars on GitHub. Its RepoMasters card: Alpha tier. UFM: A Unified Dense Image Correspondence Estimator for both Optical Flow & Wide…

| Field | Value |
| --- | --- |
| Owner | [UniFlowMatch](https://repo.masters-masters.com/en/owners/UniFlowMatch) |
| Stars | 360 |
| Forks | 21 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-3-Clause |
| Created | 2025 |
| Topics | 3d-reconstruction, ai, feature-matching, image-matching, optical-flow, robotics |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [UniFlowMatch/UFM](https://github.com/UniFlowMatch/UFM) |

## Repository

UFM: A Unified Dense Image Correspondence Estimator for both Optical Flow & Wide Baseline Matching Tasks. Matches any pair of images. (NeurIPS 2025)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.