Home › Datasets › task › Video Super-Resolution
Video Super-Resolution datasets
archive 2025-07-28
16 datasets carry the task tag "Video Super-Resolution" (the task itself: Video Super-Resolution), ordered by the archive's paper count. Page 1 of 1: 16 shown of 16. 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 Super-Resolution datasets 1–16 of 16
The Vimeo-90K is a large-scale high-quality video dataset for lower-level video processing.
220 papers · 3 benchmarks
The Vid4 dataset is generally used for testing video super-resolution.
27 papers · 3 benchmarks
Our dataset was made of videos from MSU Video Upscalers Benchmark Dataset, MSU Video Super-Resolution Benchmark Dataset and MSU Super-Resolution for Video Compression Benchmark Dataset.
26 papers · 1 benchmark
This is a dataset for a video super-resolution task.
25 papers · 1 benchmark
The dataset aims to find the algorithms that produce the most visually pleasant image possible and generalize well to a broad range of content.
24 papers · 1 benchmark
VideoLQ consists of videos downloaded from various video hosting sites such as Flickr and YouTube, with a Creative Common license.
16 papers · 1 benchmark
A video dataset for benchmarking upsampling methods.
13 papers · 0 benchmarks
This is a dataset for a super-resolution task.
13 papers · 1 benchmark
RealMCVSR (Real-world Multi-Camera Video Super-Resolution)
Our RealMCVSR dataset provides real-world HD video triplets concurrently recorded by Apple iPhone 12 Pro Max equipped with triple cameras having fixed focal lengths: ultra-wide (30mm), wide-angle (59mm), and telephoto (147mm).
4 papers · 1 benchmark
QST contains 1,167 video clips that are cut out from 216 time-lapse 4K videos collected from YouTube, which can be used for a variety of tasks, such as (high-resolution) video generation, (high-resolution) video prediction,…
3 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
SAT-MTB-VSR is a large-scale dataset for satellite video super-resolution made from original videos of Jilin-1, which is a subset of the satellite video multitasking dataset SAT-MTB.
1 paper · 1 benchmark
To evaluate the performance on 4K burst images/video, we collect several clips from website.
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.