{"url":"/dataset/msu-video-frame-interpolation","name":"MSU Video Frame Interpolation","full_name":null,"description_markdown":"This is a dataset for video frame interpolation task. The dataset contains the 1920×1080 videos in 240 FPS for videos captured with iPhone 11 and in 120 FPS for gaming content captured with OBS.","description_withheld":null,"homepage":"https://videoprocessing.ai/benchmarks/video-frame-interpolation.html","introduced_date":"2022-10-14","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Video Frame Interpolation","url":"/task/video-frame-interpolation","datasets_with_task":"/datasets/task/video-frame-interpolation"}],"languages":[],"variants":["MSU Video Frame Interpolation"],"data_loaders":[],"num_papers_in_archive":18,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/video-frame-interpolation-on-msu-video-frame","task":"Video Frame Interpolation","dataset_variant":"MSU Video Frame Interpolation","rows":24,"metrics":["Subjective score","PSNR","SSIM","VMAF","LPIPS","MS-SSIM","FPS"],"first_row_in_archive_order":{"model":"RIFE","paper":"/paper/rife-real-time-intermediate-flow-estimation","metrics":{"FPS":"27.3","LPIPS":"0.039","MS-SSIM":"0.939","PSNR":"27.15","SSIM":"0.914","Subjective score":"1.99","VMAF":"66.33"},"code_links":[{"title":"hzwer/eccv2022-rife","url":"https://github.com/hzwer/eccv2022-rife"},{"title":"hzwer/Arxiv2020-RIFE","url":"https://github.com/hzwer/Arxiv2020-RIFE"},{"title":"megvii-research/eccv2022-rife","url":"https://github.com/megvii-research/eccv2022-rife"},{"title":"YiWeiHuang-stack/Squirrel-RIFE","url":"https://github.com/YiWeiHuang-stack/Squirrel-RIFE"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"nihui/rife-ncnn-vulkan","url":"https://github.com/nihui/rife-ncnn-vulkan"},{"title":"hzwer/Pratical-RIFE","url":"https://github.com/hzwer/Pratical-RIFE"},{"title":"hzwer/Practical-RIFE","url":"https://github.com/hzwer/Practical-RIFE"},{"title":"media2x/rife-ncnn-vulkan-python","url":"https://github.com/media2x/rife-ncnn-vulkan-python"},{"title":"xinjie-q/distributed-dvc","url":"https://github.com/xinjie-q/distributed-dvc"},{"title":"ArchieMeng/rife-ncnn-vulkan-python","url":"https://github.com/ArchieMeng/rife-ncnn-vulkan-python"},{"title":"MegEngine/arXiv2020-RIFE","url":"https://github.com/MegEngine/arXiv2020-RIFE"},{"title":"amogh7joshi/media-vision","url":"https://github.com/amogh7joshi/media-vision"}]},"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/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/enhanced-bi-directional-motion-estimation-for","title":"Enhanced Bi-directional Motion Estimation for Video Frame Interpolation","date":"2022-06-17","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/ifrnet-intermediate-feature-refine-network","title":"IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation","date":"2022-05-29","rows_on_this_dataset":3,"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/video-frame-interpolation-with-transformer","title":"Video Frame Interpolation with Transformer","date":"2022-05-15","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/learning-cross-video-neural-representations","title":"Learning Cross-Video Neural Representations for High-Quality Frame Interpolation","date":"2022-02-28","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":3,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; 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/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; not a correctness claim."}},{"paper":"/paper/xvfi-extreme-video-frame-interpolation","title":"XVFI: eXtreme Video Frame Interpolation","date":"2021-03-30","rows_on_this_dataset":2,"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/cdfi-compression-driven-network-design-for","title":"CDFI: Compression-Driven Network Design for Frame Interpolation","date":"2021-03-18","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/rife-real-time-intermediate-flow-estimation","title":"RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation","date":"2020-11-12","rows_on_this_dataset":1,"code_links":13,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":26,"samples_ran":19,"samples_unverified":7,"pointer_only_for_licence":16,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/bmbc-bilateral-motion-estimation-with-1","title":"BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation","date":"2020-08-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/featureflow-robust-video-interpolation-via","title":"FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation","date":"2020-06-01","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/video-frame-interpolation-via-residue","title":"Video Frame Interpolation via Residue Refinement","date":"2020-05-04","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/learning-spatial-transform-for-video-frame","title":"AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation","date":"2019-07-24","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":2,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/super-slomo-high-quality-estimation-of","title":"Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation","date":"2017-11-30","rows_on_this_dataset":1,"code_links":5,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":1,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"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}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":10,"samples_harvested":124,"samples_ran":62,"samples_unverified":62,"pointer_only_for_licence":21,"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; 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