{"url":"/dataset/rich","name":"RICH","full_name":"Real scenes, Interaction, Contact and Humans","description_markdown":"Inferring human-scene contact (HSC) is the first step toward understanding how humans interact with their surroundings. While detecting 2D human-object interaction (HOI) and reconstructing 3D human pose and shape (HPS) have enjoyed significant progress, reasoning about 3D human-scene contact from a single image is still challenging. Existing HSC detection methods consider only a few types of predefined contact, often reduce body and scene to a small number of primitives, and even overlook image evidence. To predict human-scene contact from a single image, we address the limitations above from both data and algorithmic perspectives. We capture a new dataset called RICH for “Real scenes, Interaction, Contact and Humans.” RICH contains multiview outdoor/indoor video sequences at 4K resolution, ground-truth 3D human bodies captured using markerless motion capture, 3D body scans, and high resolution 3D scene scans. A key feature of RICH is that it also contains accurate vertex-level contact labels on the body","description_withheld":null,"homepage":"https://rich.is.tue.mpg.de/","introduced_date":"2022-06-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/capturing-and-inferring-dense-full-body-human-1","title":"Capturing and Inferring Dense Full-Body Human-Scene Contact","first_author":"Chun-Hao P. Huang","url":null},"license":{"name":"Software Copyright License for non-commercial scientific research purposes","url":"https://rich.is.tue.mpg.de/license.html"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"3D Human Pose Estimation","url":"/task/3d-human-pose-estimation","datasets_with_task":"/datasets/task/3d-human-pose-estimation"},{"name":"Human-Object Interaction Detection","url":"/task/human-object-interaction-detection","datasets_with_task":"/datasets/task/human-object-interaction-detection"},{"name":"Markerless Motion Capture","url":"/task/markerless-motion-capture","datasets_with_task":"/datasets/task/markerless-motion-capture"}],"languages":[],"variants":["RICH"],"data_loaders":[],"num_papers_in_archive":53,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/3d-human-pose-estimation-on-rich","task":"3D Human Pose Estimation","dataset_variant":"RICH","rows":4,"metrics":["MPJPE","MPVPE","PA-MPJPE","BoSE"],"first_row_in_archive_order":{"model":"UPose3D (eval only)","paper":"/paper/upose3d-uncertainty-aware-3d-human-pose","metrics":{"MPJPE":"34.7","PA-MPJPE":"32"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/upose3d-uncertainty-aware-3d-human-pose","title":"UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues","date":"2024-04-23","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/skelformer-markerless-3d-pose-and-shape","title":"SkelFormer: Markerless 3D Pose and Shape Estimation using Skeletal Transformers","date":"2024-04-19","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/wham-reconstructing-world-grounded-humans","title":"WHAM: Reconstructing World-grounded Humans with Accurate 3D Motion","date":"2023-12-12","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":12,"samples_ran":8,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/3d-human-pose-estimation-via-intuitive","title":"3D Human Pose Estimation via Intuitive Physics","date":"2023-03-31","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":1,"samples_harvested":12,"samples_ran":8,"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."}