{"url":"/dataset/blurrf-real","name":"BlurRF-Real","full_name":null,"description_markdown":"A real-world low-light camera motion blur dataset for evaluating deblurring radiance fields methods.\r\n\r\nFive indoor scenes using a machine vision camera, each providing 20-40 multi-view blurry images, including 3-5 images for novel-view synthesis evaluation.","description_withheld":null,"homepage":"https://haeyun-choi.github.io/DDRF_page/","introduced_date":"2025-02-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/exploiting-deblurring-networks-for-radiance","title":"Exploiting Deblurring Networks for Radiance Fields","first_author":"Haeyun Choi","url":null},"license":{"name":"MIT","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Novel View Synthesis","url":"/task/novel-view-synthesis","datasets_with_task":"/datasets/task/novel-view-synthesis"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["BlurRF-Real"],"data_loaders":[],"num_papers_in_archive":1,"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":"2026-09-24T18:15:14+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."}