aim-uofa / GenPercept

[ICLR2025] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models

Date Created 2024-04-03 (11 months ago)

Commits 32 (last one about a month ago)

Stargazers 159 (4 this week)

Watchers 5 (0 this week)

Forks 5

License bsd-2-clause

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RepositoryStats indexes 622,269 repositories, of these aim-uofa/GenPercept is ranked #220,558 (65th percentile) for total stargazers, and #340,717 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #40,366/126,223.

aim-uofa/GenPercept is also tagged with popular topics, for these it's ranked: semantic-segmentation (#229/542), depth-estimation (#71/181), human-pose-estimation (#84/147)

Other Information

aim-uofa/GenPercept has Github issues enabled, there are 4 open issues and 14 closed issues.

Homepage URL: https://huggingface.co/spaces/guangkaixu/GenPercept

All Topics

iclr2025 one-step image-matting surface-normals depth-estimation human-pose-estimation semantic-segmentation monocular-depth-estimation dichotomous-image-segmentation

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32 commits on the default branch (main) since jan '22

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updated: 2025-03-04 @ 04:53am, id: 781481275 / R_kgDOLpR1Ow