{"url":"/dataset/human4d","name":"HUMAN4D","full_name":null,"description_markdown":"HUMAN4D is a large and multimodal 4D dataset that contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric capture and an audio recording system. By capturing 2 female and $2$ male professional actors performing various full-body movements and expressions, HUMAN4D provides a diverse set of motions and poses encountered as part of single- and multi-person daily, physical and social activities (jumping, dancing, etc. ), along with multi-RGBD (mRGBD), volumetric and audio data.\r\n\r\nDescription from: [HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media](https://paperswithcode.com/paper/human4d-a-human-centric-multimodal-dataset)\r\n\r\nImage source: [https://github.com/tofis/human4d_dataset](https://github.com/tofis/human4d_dataset)","description_withheld":null,"homepage":"https://github.com/tofis/human4d_dataset","introduced_date":"2021-10-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/human4d-a-human-centric-multimodal-dataset","title":"HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media","first_author":"Anargyros Chatzitofis","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"3D Human Pose Estimation","url":"/task/3d-human-pose-estimation","datasets_with_task":"/datasets/task/3d-human-pose-estimation"},{"name":"Depth Estimation","url":"/task/depth-estimation","datasets_with_task":"/datasets/task/depth-estimation"},{"name":"Monocular Depth Estimation","url":"/task/monocular-depth-estimation","datasets_with_task":"/datasets/task/monocular-depth-estimation"},{"name":"3D Point Cloud Reconstruction","url":"/task/3d-point-cloud-reconstruction","datasets_with_task":"/datasets/task/3d-point-cloud-reconstruction"},{"name":"3D Pose Estimation","url":"/task/3d-pose-estimation","datasets_with_task":"/datasets/task/3d-pose-estimation"},{"name":"3D Shape Reconstruction","url":"/task/3d-shape-reconstruction","datasets_with_task":"/datasets/task/3d-shape-reconstruction"},{"name":"3D Depth Estimation","url":"/task/3d-depth-estimation","datasets_with_task":"/datasets/task/3d-depth-estimation"},{"name":"3D Human Shape Estimation","url":"/task/3d-human-shape-estimation","datasets_with_task":"/datasets/task/3d-human-shape-estimation"},{"name":"Indoor Monocular Depth Estimation","url":"/task/indoor-monocular-depth-estimation","datasets_with_task":"/datasets/task/indoor-monocular-depth-estimation"},{"name":"Depth Image Estimation","url":"/task/depth-image-estimation","datasets_with_task":"/datasets/task/depth-image-estimation"},{"name":"3D Shape Retrieval","url":"/task/3d-shape-retrieval-1","datasets_with_task":"/datasets/task/3d-shape-retrieval-1"}],"languages":[],"variants":["HUMAN4D"],"data_loaders":[],"num_papers_in_archive":9,"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."}