{"url":"/task/space-time-video-super-resolution","name":"Space-time Video Super-resolution","slug":"space-time-video-super-resolution","description_markdown":null,"categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":24,"papers_with_code":16,"benchmarks":2,"benchmark_tables_in_archive":2,"benchmark_tables_shown":2,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":0},"benchmarks":[{"leaderboard":"/sota/space-time-video-super-resolution-on-vimeo90k","slug":"space-time-video-super-resolution-on-vimeo90k","dataset":"Vimeo90K-Fast","dataset_url":null,"rows_in_archive":4,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"VRT","paper_title":"VRT: A Video Restoration Transformer","paper_url":"/paper/vrt-a-video-restoration-transformer","paper_date":"2022-01-28","arxiv_id":"2201.12288","code_links":[{"title":"jingyunliang/vrt","url":"https://github.com/jingyunliang/vrt"}],"syntology":{"n":5,"n_ran":4,"n_unverified":1,"n_pointer_only":5}}},{"leaderboard":"/sota/space-time-video-super-resolution-on-vimeo90k-1","slug":"space-time-video-super-resolution-on-vimeo90k-1","dataset":"Vimeo90K-Medium","dataset_url":null,"rows_in_archive":4,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"VRT","paper_title":"VRT: A Video Restoration Transformer","paper_url":"/paper/vrt-a-video-restoration-transformer","paper_date":"2022-01-28","arxiv_id":"2201.12288","code_links":[{"title":"jingyunliang/vrt","url":"https://github.com/jingyunliang/vrt"}],"syntology":{"n":5,"n_ran":4,"n_unverified":1,"n_pointer_only":5}}}],"datasets":[{"url":"/dataset/vid4","name":"Vid4","full_name":"","num_papers_in_archive":27}],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":16,"of":16,"tagged_in_all":24,"items":[{"url":"/paper/zooming-slow-mo-fast-and-accurate-one-stage","title":"Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution","date":"2020-02-26","arxiv_id":"2002.11616","repositories_listed":3,"syntology":{"n":8,"n_ran":2,"n_unverified":6,"n_pointer_only":0}},{"url":"/paper/evenhancer-empowering-effectiveness","title":"EvEnhancer: Empowering Effectiveness, Efficiency and Generalizability for Continuous Space-Time Video Super-Resolution with Events","date":"2025-05-07","arxiv_id":"2505.04657","repositories_listed":1,"syntology":null},{"url":"/paper/3dattgan-a-3d-attention-based-generative","title":"3DAttGAN: A 3D Attention-based Generative Adversarial Network for Joint Space-Time Video Super-Resolution","date":"2024-07-24","arxiv_id":"2407.16965","repositories_listed":1,"syntology":null},{"url":"/paper/hr-inr-continuous-space-time-video-super","title":"HR-INR: Continuous Space-Time Video Super-Resolution via Event Camera","date":"2024-05-22","arxiv_id":"2405.13389","repositories_listed":1,"syntology":null},{"url":"/paper/scale-adaptive-feature-aggregation-for","title":"Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution","date":"2023-10-26","arxiv_id":"2310.17294","repositories_listed":1,"syntology":null},{"url":"/paper/motif-learning-motion-trajectories-with-local","title":"MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution","date":"2023-07-16","arxiv_id":"2307.07988","repositories_listed":1,"syntology":{"n":4,"n_ran":2,"n_unverified":2,"n_pointer_only":4}},{"url":"/paper/towards-interpretable-video-super-resolution","title":"Towards Interpretable Video Super-Resolution via Alternating Optimization","date":"2022-07-21","arxiv_id":"2207.10765","repositories_listed":1,"syntology":null},{"url":"/paper/enhancing-space-time-video-super-resolution","title":"Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interaction","date":"2022-07-18","arxiv_id":"2207.08960","repositories_listed":1,"syntology":null},{"url":"/paper/videoinr-learning-video-implicit-neural-1","title":"VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution","date":"2022-06-09","arxiv_id":"2206.04647","repositories_listed":1,"syntology":{"n":11,"n_ran":6,"n_unverified":5,"n_pointer_only":11}},{"url":"/paper/rstt-real-time-spatial-temporal-transformer","title":"RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution","date":"2022-03-27","arxiv_id":"2203.14186","repositories_listed":1,"syntology":{"n":14,"n_ran":8,"n_unverified":6,"n_pointer_only":14}},{"url":"/paper/stdan-deformable-attention-network-for-space","title":"STDAN: Deformable Attention Network for Space-Time Video Super-Resolution","date":"2022-03-14","arxiv_id":"2203.06841","repositories_listed":1,"syntology":null},{"url":"/paper/vrt-a-video-restoration-transformer","title":"VRT: A Video Restoration Transformer","date":"2022-01-28","arxiv_id":"2201.12288","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_unverified":1,"n_pointer_only":5}},{"url":"/paper/temporal-modulation-network-for-controllable","title":"Temporal Modulation Network for Controllable Space-Time Video Super-Resolution","date":"2021-04-21","arxiv_id":"2104.10642","repositories_listed":1,"syntology":{"n":6,"n_ran":1,"n_unverified":5,"n_pointer_only":0}},{"url":"/paper/zooming-slowmo-an-efficient-one-stage","title":"Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution","date":"2021-04-15","arxiv_id":"2104.07473","repositories_listed":1,"syntology":null},{"url":"/paper/efficient-space-time-video-super-resolution","title":"Efficient Space-time Video Super Resolution using Low-Resolution Flow and Mask Upsampling","date":"2021-04-12","arxiv_id":"2104.05778","repositories_listed":1,"syntology":null},{"url":"/paper/fisr-deep-joint-frame-interpolation-and-super","title":"FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-scale Temporal Loss","date":"2019-12-16","arxiv_id":"1912.07213","repositories_listed":1,"syntology":null}],"syntology_records":6,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}