Royalvice / DocDiff

ACM Multimedia 2023: DocDiff: Document Enhancement via Residual Diffusion Models. Also contains 1597 red seals in Chinese scenes, along with their corresponding binary masks.

Date Created 2023-03-19 (about a year ago)

Commits 45 (last one 4 months ago)

Stargazers 242 (0 this week)

Watchers 5 (0 this week)

Forks 25

License mit

Ranking

RepositoryStats indexes 598,732 repositories, of these Royalvice/DocDiff is ranked #158,417 (74th percentile) for total stargazers, and #336,587 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #27,943/120,199.

Royalvice/DocDiff is also tagged with popular topics, for these it's ranked: deep-learning (#3,211/8543), pytorch (#2,224/6032), dataset (#307/1170), diffusion-models (#208/646), ocr (#230/609), super-resolution (#103/324), documentation-tool (#73/159)

Other Information

Royalvice/DocDiff has Github issues enabled, there are 18 open issues and 22 closed issues.

All Topics

ocr dataset img2img pytorch math-ocr deblurring seal-removal deep-learning image-to-image diffusion-models low-level-vision super-resolution image-translation table-recognition documentation-tool document-binarization

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Recent Commit History

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

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Languages

The only known language in this repository is Python

updated: 2024-12-28 @ 10:07am, id: 615894958 / R_kgDOJLXPrg