UFM: A Unified Dense Image Correspondence Estimator for both Optical Flow & Wide Baseline Matching Tasks. Matches any pair of images. (NeurIPS 2025)
Match images accurately for tasks like tracking movement or comparing different views of a scene.
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UFM has 336 stars on GitHub. It has been forked 21 times. UFM is written mainly in Python. It has been in active development since 2025. UFM is available under the BSD-3-Clause license. Its main topics are 3d-reconstruction, ai, feature-matching, image-matching.
UFM: A Unified Dense Image Correspondence Estimator for both Optical Flow & Wide Baseline Matching Tasks. Matches any pair of images. (NeurIPS 2025)
UFM is an open-source project. It is released under the BSD-3-Clause license.
Yes. UFM is free and open source — you can use, modify and self-host it.
UFM is available under the BSD-3-Clause license.
UFM is written mainly in Python.
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