{"url":"/dataset/video-waterdrop-removal-dataset","name":"Video Waterdrop Removal Dataset","full_name":null,"description_markdown":"Due to the lack of training data for video waterdrop removal, we propose a large-scale synthetic dataset with simulated waterdrops in complex driving scenes on rainy days.","description_withheld":null,"homepage":"https://github.com/csqiangwen/Video_Waterdrop_Removal_in_Driving_Scenes","introduced_date":"2023-02-12","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Video deraining","url":"/task/video-deraining","datasets_with_task":"/datasets/task/video-deraining"},{"name":"Raindrop Removal","url":"/task/raindrop-removal","datasets_with_task":"/datasets/task/raindrop-removal"}],"languages":[],"variants":["Video Waterdrop Removal Dataset"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/video-deraining-on-video-waterdrop-removal","task":"Video deraining","dataset_variant":"Video Waterdrop Removal Dataset","rows":5,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"RainMamba","paper":"/paper/rainmamba-enhanced-locality-learning-with-2","metrics":{"PSNR":"37.21","SSIM":"0.9816"},"code_links":[{"title":"TonyHongtaoWu/RainMamba","url":"https://github.com/TonyHongtaoWu/RainMamba"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/rainmamba-enhanced-locality-learning-with-2","title":"RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining","date":"2024-07-31","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/video-waterdrop-removal-via-spatio-temporal","title":"Video Waterdrop Removal via Spatio-Temporal Fusion in Driving Scenes","date":"2023-02-12","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/removing-raindrops-and-rain-streaks-in-one-go","title":"Removing Raindrops and Rain Streaks in One Go","date":"2021-06-19","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/video-to-video-synthesis","title":"Video-to-Video Synthesis","date":"2018-08-20","rows_on_this_dataset":1,"code_links":10,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":2,"samples_ran":2,"samples_unverified":0,"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."}