{"url":"/dataset/mfqe-v2","name":"MFQE v2","full_name":"Multi-Frame Quality Enhancement v2 Dataset","description_markdown":"A dataset for compressed video quality enhancement.","description_withheld":null,"homepage":"https://github.com/ryanxingql/mfqev2.0/wiki/MFQEv2-Dataset","introduced_date":"2019-02-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/mfqe-20-a-new-approach-for-multi-frame","title":"MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video","first_author":"Qunliang Xing","url":null},"license":null,"modalities":[],"tasks":[{"name":"Video Enhancement","url":"/task/video-enhancement","datasets_with_task":"/datasets/task/video-enhancement"}],"languages":[],"variants":["MFQE v2"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/video-enhancement-on-mfqe-v2","task":"Video Enhancement","dataset_variant":"MFQE v2","rows":6,"metrics":["Incremental PSNR","Parameters(M)"],"first_row_in_archive_order":{"model":"BasicVSR++","paper":"/paper/basicvsr-improving-video-super-resolution","metrics":{"Incremental PSNR":"1.10"},"code_links":[{"title":"open-mmlab/mmediting","url":"https://github.com/open-mmlab/mmediting"},{"title":"ckkelvinchan/basicvsr_plusplus","url":"https://github.com/ckkelvinchan/basicvsr_plusplus"},{"title":"renyang-home/ntire22_venh_sr","url":"https://github.com/renyang-home/ntire22_venh_sr"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/unsupervised-flow-aligned-sequence-to","title":"Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration","date":"2022-05-20","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/basicvsr-improving-video-super-resolution","title":"BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment","date":"2021-04-27","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/spatio-temporal-deformable-convolution-for","title":"Spatio-temporal deformable convolution for compressed video quality enhancement","date":"2020-04-03","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/edvr-video-restoration-with-enhanced","title":"EDVR: Video Restoration with Enhanced Deformable Convolutional Networks","date":"2019-05-07","rows_on_this_dataset":1,"code_links":11,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":19,"samples_ran":5,"samples_unverified":14,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/mfqe-20-a-new-approach-for-multi-frame","title":"MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video","date":"2019-02-26","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/multi-frame-quality-enhancement-for","title":"Multi-Frame Quality Enhancement for Compressed Video","date":"2018-03-13","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":22,"samples_ran":8,"samples_unverified":14,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"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."}