{"url":"/dataset/rgb-davis-dataset","name":"RGB-DAVIS Dataset","full_name":null,"description_markdown":"Used to show systematic performance improvement in applications such as high frame-rate video synthesis, feature/corner detection and tracking, as well as high dynamic range image reconstruction.\r\n\r\nSource: [Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging](/paper/joint-filtering-of-intensity-images-and)","description_withheld":null,"homepage":"https://sites.google.com/view/guided-event-filtering","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/joint-filtering-of-intensity-images-and","title":"Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging","first_author":"Zihao W. Wang","url":null},"license":null,"modalities":[],"tasks":[{"name":"Image Reconstruction","url":"/task/image-reconstruction","datasets_with_task":"/datasets/task/image-reconstruction"},{"name":"Event-based vision","url":"/task/event-based-vision","datasets_with_task":"/datasets/task/event-based-vision"},{"name":"Motion Compensation","url":"/task/motion-compensation","datasets_with_task":"/datasets/task/motion-compensation"}],"languages":[],"variants":["RGB-DAVIS Dataset"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"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."}