{"url":"/dataset/d3d-hoi","name":"D3D-HOI","full_name":null,"description_markdown":"D3D-HOI is a dataset of monocular videos with ground truth annotations of 3D object pose, shape and part motion during human-object interactions. The dataset consists of several common articulated objects captured from diverse real-world scenes and camera viewpoints. Each manipulated object (e.g., microwave oven) is represented with a matching 3D parametric model. This data allows researchers to evaluate the reconstruction quality of articulated objects and establish a benchmark for this challenging task.\r\n\r\nImage source: [https://github.com/facebookresearch/d3d-hoi](https://github.com/facebookresearch/d3d-hoi)","description_withheld":null,"homepage":"https://github.com/facebookresearch/d3d-hoi","introduced_date":"2021-08-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/d3d-hoi-dynamic-3d-human-object-interactions","title":"D3D-HOI: Dynamic 3D Human-Object Interactions from Videos","first_author":"Xiang Xu","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["D3D-HOI"],"data_loaders":[],"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":"2026-09-24T18:15:14+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."}