miccunifi / TAPE

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

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

Commits 25 (last one about a year ago)

Stargazers 46 (0 this week)

Watchers 11 (0 this week)

Forks 3

License other

Ranking

RepositoryStats indexes 630,443 repositories, of these miccunifi/TAPE is ranked #512,159 (19th percentile) for total stargazers, and #185,881 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #100,580/128,655.

miccunifi/TAPE is also tagged with popular topics, for these it's ranked: deep-learning (#7,570/8798), computer-vision (#2,759/3285), transformer (#898/1072), convolutional-neural-networks (#509/567), video-processing (#238/280)

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: 2025-03-18 @ 03:49am, id: 707123736 / R_kgDOKiXaGA