OpenImagingLab / DualDn

[ECCV2024] DualDn: Dual-domain Denoising via Differentiable ISP. :star::triumph::star::skull: SOTA model for real-image denoising. :skull: Both in terms of denoising performance and generalization ability.

Date Created 2024-05-24 (9 months ago)

Commits 223 (last one about a month ago)

Stargazers 46 (0 this week)

Watchers 3 (0 this week)

Forks 1

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RepositoryStats indexes 622,366 repositories, of these OpenImagingLab/DualDn is ranked #507,101 (19th percentile) for total stargazers, and #435,531 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #98,963/126,222.

OpenImagingLab/DualDn is also tagged with popular topics, for these it's ranked: pytorch (#5,257/6166), image-restoration (#128/157)

Other Information

OpenImagingLab/DualDn has Github issues enabled, there are 3 open issues and 11 closed issues.

Homepage URL: https://openimaginglab.github.io/DualDn/

All Topics

pytorch eccv2024 image-denoising low-level-vision image-restoration differentiable-isp real-image-denoising dual-domain-denoising generalization-ability state-of-the-art-models image-processing-pipeline

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

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The only known language in this repository is Python

updated: 2025-02-28 @ 12:00pm, id: 805393171 / R_kgDOMAFTEw