{"url":"/dataset/4d-light-field-dataset","name":"4D Light Field Dataset","full_name":null,"description_markdown":"4D Light Field Dataset is a light field benchmark consisting of 24 carefully designed synthetic, densely sampled 4D\r\nlight fields with highly accurate disparity ground truth.","description_withheld":null,"homepage":"https://lightfield-analysis.uni-konstanz.de/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Depth Estimation","url":"/task/depth-estimation","datasets_with_task":"/datasets/task/depth-estimation"}],"languages":[],"variants":[],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/depth-estimation-on-4d-light-field-dataset","task":"Depth Estimation","dataset_variant":"4D Light Field Dataset","rows":1,"metrics":["BadPix(0.01)","BadPix(0.03)","BadPix(0.07)","MSE "],"first_row_in_archive_order":{"model":"LFattNet","paper":"/paper/attention-based-view-selection-networks-for","metrics":{"BadPix(0.01)":"17.226","BadPix(0.03)":"6.823","BadPix(0.07)":"3.756","MSE ":"1.904"},"code_links":[{"title":"LIAGM/LFattNet","url":"https://github.com/LIAGM/LFattNet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/attention-based-view-selection-networks-for","title":"Attention-based View Selection Networks for Light-field Disparity Estimation","date":"2020-02-07","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}