{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/metapose-fast-3d-pose-from-multiple-views","title":"MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision","arxiv_id":"2108.04869","date":"2021-08-10","proceeding":"CVPR 2022 1","authors":["Ben Usman","Andrea Tagliasacchi","Kate Saenko","Avneesh Sud"],"abstract":"In the era of deep learning, human pose estimation from multiple cameras with unknown calibration has received little attention to date. We show how to train a neural model to perform this task with high precision and minimal latency overhead. The proposed model takes into account joint location uncertainty due to occlusion from multiple views, and requires only 2D keypoint data for training. Our method outperforms both classical bundle adjustment and weakly-supervised monocular 3D baselines on the well-established Human3.6M dataset, as well as the more challenging in-the-wild Ski-Pose PTZ dataset.","url_abs":"https://arxiv.org/abs/2108.04869v2","url_pdf":"https://arxiv.org/pdf/2108.04869v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"metapose-fast-3d-pose-from-multiple-views","repo_url":"https://github.com/google-research/google-research/tree/master/metapose","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"jax","reach":null}],"tasks":[{"task_slug":"3d-human-pose-estimation","task_name":"3D Human Pose Estimation"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"},{"task_slug":"weakly-supervised-3d-human-pose-estimation","task_name":"Weakly-supervised 3D Human Pose Estimation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/3d-human-pose-estimation-on-skipose","task":"3D Human Pose Estimation","dataset":"SkiPose","model":"MetaPose (S1+S2)","rank_in_archive_order":1,"of":3,"metrics":{"MPJPE":"53","P-MPJPE":"42"},"uses_additional_data":false},{"leaderboard":"/sota/3d-human-pose-estimation-on-skipose","task":"3D Human Pose Estimation","dataset":"SkiPose","model":"MetaPose (S1+IR)","rank_in_archive_order":2,"of":3,"metrics":{"MPJPE":"54","P-MPJPE":"30"},"uses_additional_data":false},{"leaderboard":"/sota/weakly-supervised-3d-human-pose-estimation-on","task":"Weakly-supervised 3D Human Pose Estimation","dataset":"Human3.6M","model":"MetaPose (S1+S2/SS)","rank_in_archive_order":6,"of":33,"metrics":{"Average MPJPE (mm)":"56"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/2108.04869","atlas_url":"https://app.syntology.ai/?focus=2108.04869","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}