miccunifi / TAPE

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

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

Commits 25 (last one 10 months ago)

Stargazers 41 (0 this week)

Watchers 12 (0 this week)

Forks 1

License other

Ranking

RepositoryStats indexes 595,856 repositories, of these miccunifi/TAPE is ranked #515,470 (13th percentile) for total stargazers, and #178,842 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #100,448/119,431.

miccunifi/TAPE is also tagged with popular topics, for these it's ranked: deep-learning (#7,680/8512), computer-vision (#2,769/3130), transformer (#903/1018), convolutional-neural-networks (#516/549), video-processing (#240/266)

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: 2024-12-05 @ 02:15pm, id: 707123736 / R_kgDOKiXaGA