miccunifi / TAPE

[WACV 2024] - Reference-based Restoration of Digitized Analog Videotapes

Date Created 2023-10-19 (about a year ago)

Commits 25 (last one 11 months ago)

Stargazers 45 (0 this week)

Watchers 12 (0 this week)

Forks 2

License other

Ranking

RepositoryStats indexes 608,712 repositories, of these miccunifi/TAPE is ranked #503,749 (17th percentile) for total stargazers, and #179,953 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #97,896/122,751.

miccunifi/TAPE is also tagged with popular topics, for these it's ranked: deep-learning (#7,488/8631), computer-vision (#2,704/3179), transformer (#883/1036), convolutional-neural-networks (#504/553), video-processing (#234/273)

Other Information

There have been 1 release, the latest one was published on 2023-11-27 (about a year ago) with the name Pre-trained model.

All Topics

vgg clip unet transformer analog-videos deep-learning video-quality computer-vision low-level-vision swin-transformer video-processing degradation-model video-restoration convolutional-neural-networks

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

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The primary language is Python but there's also others...

updated: 2025-01-15 @ 12:55pm, id: 707123736 / R_kgDOKiXaGA