{"url":"/dataset/vimeo90k-1","name":"Vimeo90K","full_name":null,"description_markdown":"The Vimeo-90K is a large-scale high-quality video dataset for lower-level video processing. 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nothing here re-ranks them"},{"leaderboard":"/sota/video-prediction-on-vimeo90k","task":"Video Prediction","dataset_variant":"Vimeo90K","rows":3,"metrics":["LPIPS","MS-SSIM"],"first_row_in_archive_order":{"model":"OPT","paper":null,"metrics":{"LPIPS":"0.0359","MS-SSIM":"0.9675"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/video-super-resolution-on-vimeo90k","task":"Video Super-Resolution","dataset_variant":"Vimeo90K","rows":3,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"iSeeBetter","paper":"/paper/iseebetter-spatio-temporal-video-super","metrics":{"PSNR":"40.17"},"code_links":[{"title":"amanchadha/iSeeBetter","url":"https://github.com/amanchadha/iSeeBetter"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/video-frame-interpolation-with-densely","title":"Video Frame Interpolation with Densely Queried Bilateral Correlation","date":"2023-04-26","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":13,"samples_ran":1,"samples_unverified":12,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/a-dynamic-multi-scale-voxel-flow-network-for","title":"A Dynamic Multi-Scale Voxel Flow Network for Video Prediction","date":"2023-03-17","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":3,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/extracting-motion-and-appearance-via-inter","title":"Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation","date":"2023-03-01","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":12,"samples_ran":10,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/a-unified-pyramid-recurrent-network-for-video","title":"A Unified Pyramid Recurrent Network for Video Frame Interpolation","date":"2022-11-07","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/neighbor-correspondence-matching-for-flow","title":"Neighbor Correspondence Matching for Flow-based Video Frame Synthesis","date":"2022-07-14","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/enhanced-bi-directional-motion-estimation-for","title":"Enhanced Bi-directional Motion Estimation for Video Frame Interpolation","date":"2022-06-17","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/recurrent-video-restoration-transformer-with","title":"Recurrent Video Restoration Transformer with Guided Deformable Attention","date":"2022-06-05","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":14,"samples_ran":7,"samples_unverified":7,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; 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not a correctness claim."}},{"paper":"/paper/film-frame-interpolation-for-large-motion","title":"FILM: Frame Interpolation for Large Motion","date":"2022-02-10","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":20,"samples_ran":10,"samples_unverified":10,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/enhanced-correlation-matching-based-video","title":"Enhanced Correlation Matching based Video Frame Interpolation","date":"2021-11-17","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/asymmetric-bilateral-motion-estimation-for","title":"Asymmetric Bilateral Motion Estimation for Video Frame Interpolation","date":"2021-08-15","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":13,"samples_ran":2,"samples_unverified":11,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; 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not a correctness claim."}},{"paper":"/paper/memc-net-motion-estimation-and-motion","title":"MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement","date":"2018-10-20","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":0,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/video-enhancement-with-task-oriented-flow","title":"Video Enhancement with Task-Oriented Flow","date":"2017-11-24","rows_on_this_dataset":1,"code_links":4,"syntology":null},{"paper":"/paper/video-frame-interpolation-via-adaptive","title":"Video Frame Interpolation via Adaptive Separable Convolution","date":"2017-08-05","rows_on_this_dataset":1,"code_links":6,"syntology":null},{"paper":"/paper/video-frame-synthesis-using-deep-voxel-flow","title":"Video Frame Synthesis using Deep Voxel Flow","date":"2017-02-08","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"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":14,"samples_harvested":134,"samples_ran":57,"samples_unverified":77,"pointer_only_for_licence":11,"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."}