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Video Restoration datasets

archive 2025-07-28

7 datasets carry the task tag "Video Restoration" (the task itself: Video Restoration), ordered by the archive's paper count. Page 1 of 1: 7 shown of 7. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Video Restoration datasets 1–7 of 7

VRDS (Video Raindrop and Rain Streak Removal)
We generate a synthesized dataset, namely VRDS, with 102 rainy videos from diverse scenarios, and each video frame has the corresponding rain streak map, raindrop mask, and the underlying rain-free clean image (ground truth).
8 papers · 1 benchmark
BS-RSC is a real-world rolling shutter (RS) correction dataset and a corresponding model to correct the RS frames in a distorted video.
7 papers · 1 benchmark
TAPE (resToration of digitized Analog videotaPEs)
A dataset of videos synthetically degraded with Adobe After Effects to exhibit artifacts resembling those of real-world analog videotapes.
7 papers · 1 benchmark
I2-2000FPS is the first high-speed video dataset offering an unprecedented temporal resolution of 2000 frames per second (fps).
2 papers · 0 benchmarks
SEPE 8K dataset is made of 40 different 8K (8192 x 4320) video sequences and 40 variant 8K (8192 x 5464) images.
2 papers · 1 benchmark
To evaluate the performance on 4K burst images/video, we collect several clips from website.
1 paper · 0 benchmarks
Vident-lab is a dataset of dental videos with multi-task labels to facilitate further research in relevant video processing applications.
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.