{"url":"/dataset/msu-super-resolution-for-video-compression","name":"MSU Super-Resolution for Video Compression","full_name":null,"description_markdown":"This is a dataset for a super-resolution task. The dataset contains 480x270 videos that were decoded with 6 different bitrates (100 - 4000 kbps) using 5 different codecs (H.264, H.265, H.266, AV1, and AVS3 standards). The dataset contains indoor and outdoor videos as well as animation. All videos have low SI/TI values and simple textures. It was made to minimize compression artifacts that may occur to make restoration of details possible.","description_withheld":null,"homepage":"https://videoprocessing.ai/benchmarks/super-resolution-for-video-compression.html","introduced_date":"2022-03-14","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Video Super-Resolution","url":"/task/video-super-resolution","datasets_with_task":"/datasets/task/video-super-resolution"}],"languages":[],"variants":["MSU Super-Resolution for Video Compression"],"data_loaders":[],"num_papers_in_archive":13,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/video-super-resolution-on-msu-super-1","task":"Video Super-Resolution","dataset_variant":"MSU Super-Resolution for Video Compression","rows":85,"metrics":["BSQ-rate over Subjective Score","BSQ-rate over ERQA","BSQ-rate over VMAF","BSQ-rate over PSNR","BSQ-rate over MS-SSIM","BSQ-rate over LPIPS"],"first_row_in_archive_order":{"model":"RealSR + x264","paper":"/paper/real-world-super-resolution-via-kernel","metrics":{"BSQ-rate over ERQA":"0.77","BSQ-rate over LPIPS":"0.591","BSQ-rate over MS-SSIM":"0.487","BSQ-rate over PSNR":"0.675","BSQ-rate over Subjective Score":"0.196","BSQ-rate over VMAF":"0.775"},"code_links":[{"title":"nihui/realsr-ncnn-vulkan","url":"https://github.com/nihui/realsr-ncnn-vulkan"},{"title":"jixiaozhong/RealSR","url":"https://github.com/jixiaozhong/RealSR"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/vrt-a-video-restoration-transformer","title":"VRT: A Video Restoration Transformer","date":"2022-01-28","rows_on_this_dataset":5,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":4,"samples_unverified":1,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/swinir-image-restoration-using-swin","title":"SwinIR: Image Restoration Using Swin Transformer","date":"2021-08-23","rows_on_this_dataset":5,"code_links":9,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":45,"samples_ran":30,"samples_unverified":15,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/real-esrgan-training-real-world-blind-super","title":"Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data","date":"2021-07-22","rows_on_this_dataset":5,"code_links":8,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":3,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/real-time-super-resolution-system-of-4k-video","title":"Real-Time Super-Resolution System of 4K-Video Based on Deep Learning","date":"2021-07-12","rows_on_this_dataset":5,"code_links":1,"syntology":null},{"paper":"/paper/comisr-compression-informed-video-super","title":"COMISR: Compression-Informed Video Super-Resolution","date":"2021-05-04","rows_on_this_dataset":5,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":0,"samples_unverified":3,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/temporal-modulation-network-for-controllable","title":"Temporal Modulation Network for Controllable Space-Time Video Super-Resolution","date":"2021-04-21","rows_on_this_dataset":5,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":1,"samples_unverified":5,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/basicvsr-the-search-for-essential-components","title":"BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond","date":"2020-12-03","rows_on_this_dataset":5,"code_links":6,"syntology":null},{"paper":"/paper/local-global-fusion-network-for-video-super","title":"Local-Global Fusion Network for Video Super-Resolution","date":"2020-09-22","rows_on_this_dataset":5,"code_links":1,"syntology":null},{"paper":"/paper/video-super-resolution-with-recurrent","title":"Video Super-Resolution with Recurrent Structure-Detail Network","date":"2020-08-02","rows_on_this_dataset":5,"code_links":2,"syntology":null},{"paper":"/paper/real-world-super-resolution-via-kernel","title":"Real-World Super-Resolution via Kernel Estimation and Noise Injection","date":"2020-06-19","rows_on_this_dataset":5,"code_links":2,"syntology":null},{"paper":"/paper/deep-blind-video-super-resolution","title":"Deep Blind Video Super-resolution","date":"2020-03-10","rows_on_this_dataset":5,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":15,"samples_ran":9,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/deep-video-super-resolution-using-hr-optical","title":"Deep Video Super-Resolution using HR Optical Flow Estimation","date":"2020-01-06","rows_on_this_dataset":10,"code_links":2,"syntology":null},{"paper":"/paper/recurrent-back-projection-network-for-video","title":"Recurrent Back-Projection Network for Video Super-Resolution","date":"2019-03-25","rows_on_this_dataset":5,"code_links":7,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":0,"samples_unverified":7,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":7,"samples_harvested":90,"samples_ran":47,"samples_unverified":43,"pointer_only_for_licence":10,"papers_with_no_sample_that_ran":2,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}