{"url":"/dataset/chi3d","name":"CHI3D","full_name":null,"description_markdown":"**CHI3D** is a lab-based accurate 3D motion capture dataset with 631 sequences containing 2,525 contact events,728,664 ground truth 3d poses, as well as FlickrCI3D, a dataset of 11,216 images, with 14,081 processed pairs of people, and 81,233 facet-level surface correspondences.","description_withheld":null,"homepage":"https://github.com/sminchisescu-research/imar_vision_datasets_tools","introduced_date":"2023-08-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/reconstructing-three-dimensional-models-of","title":"Reconstructing Three-Dimensional Models of Interacting Humans","first_author":"Mihai Fieraru","url":null},"license":{"name":"MIT License","url":"https://github.com/sminchisescu-research/imar_vision_datasets_tools/blob/main/LICENSE"},"modalities":[{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[],"languages":[],"variants":["CHI3D"],"data_loaders":[{"repo":"https://gitlab.com/Percipiote/skelda","url":"https://gitlab.com/Percipiote/skelda","frameworks":[]}],"num_papers_in_archive":5,"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."}