{"url":"/dataset/dhp19","name":"DHP19","full_name":"Dynamic Vision Sensor 3D Human Pose Dataset","description_markdown":"DHP19 is the first human pose dataset with data collected from DVS event cameras. \r\n\r\nIt has recordings from 4 synchronized 346x260 pixel DVS cameras and marker positions in 3D space from Vicon motion capture system. The files have event streams and 3D positions recorded from 17 subjects each performing 33 movements.\r\n\r\nSource: [DHP19](https://sites.google.com/view/dhp19/home)","description_withheld":null,"homepage":"https://sites.google.com/view/dhp19/home","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"3D Human Pose Estimation","url":"/task/3d-human-pose-estimation","datasets_with_task":"/datasets/task/3d-human-pose-estimation"}],"languages":[],"variants":["DHP19"],"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/3d-human-pose-estimation-on-dhp19","task":"3D Human Pose Estimation","dataset_variant":"DHP19","rows":2,"metrics":["MPJPE3D","GFLOPs","MPJPE2D","Params (M)"],"first_row_in_archive_order":{"model":"Point Transformer","paper":"/paper/efficient-human-pose-estimation-via-3d-event","metrics":{"GFLOPs":"10.06","MPJPE2D":"6.46","MPJPE3D":"73.37","Params (M)":"3.65"},"code_links":[{"title":"masterhow/eventpointpose","url":"https://github.com/masterhow/eventpointpose"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/efficient-human-pose-estimation-via-3d-event","title":"Efficient Human Pose Estimation via 3D Event Point Cloud","date":"2022-06-09","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":4,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/lifting-monocular-events-to-3d-human-poses","title":"Lifting Monocular Events to 3D Human Poses","date":"2021-04-21","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":8,"samples_ran":4,"samples_unverified":4,"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."}