{"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/lifting-from-the-deep-convolutional-3d-pose","title":"Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image","arxiv_id":"1701.00295","date":"2017-01-01","proceeding":"CVPR 2017 7","authors":["Denis Tome","Chris Russell","Lourdes Agapito"],"abstract":"We propose a unified formulation for the problem of 3D human pose estimation\nfrom a single raw RGB image that reasons jointly about 2D joint estimation and\n3D pose reconstruction to improve both tasks. We take an integrated approach\nthat fuses probabilistic knowledge of 3D human pose with a multi-stage CNN\narchitecture and uses the knowledge of plausible 3D landmark locations to\nrefine the search for better 2D locations. The entire process is trained\nend-to-end, is extremely efficient and obtains state- of-the-art results on\nHuman3.6M outperforming previous approaches both on 2D and 3D errors.","url_abs":"http://arxiv.org/abs/1701.00295v4","url_pdf":"http://arxiv.org/pdf/1701.00295v4.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":"lifting-from-the-deep-convolutional-3d-pose","repo_url":"https://github.com/SyBorg91/pose-estimation-detection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"lifting-from-the-deep-convolutional-3d-pose","repo_url":"https://github.com/SyedUmaidAhmed/Pose-Detection-Sitting-Standing","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"lifting-from-the-deep-convolutional-3d-pose","repo_url":"https://github.com/Watson-BCA/HumanPostureRecognition","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"lifting-from-the-deep-convolutional-3d-pose","repo_url":"https://github.com/anfidthtn/HAC","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"lifting-from-the-deep-convolutional-3d-pose","repo_url":"https://github.com/dronefreak/human-action-classification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"lifting-from-the-deep-convolutional-3d-pose","repo_url":"https://github.com/h44rd/PoseTransferMayaPlugin","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"lifting-from-the-deep-convolutional-3d-pose","repo_url":"https://github.com/satyaborg/pose-estimation-detection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"lifting-from-the-deep-convolutional-3d-pose","repo_url":"https://github.com/sourabhagrawal23/human-action-classification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"lifting-from-the-deep-convolutional-3d-pose","repo_url":"https://github.com/swathi-469/Teresa-Bot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"lifting-from-the-deep-convolutional-3d-pose","repo_url":"https://github.com/zhec/tf-pose-estimation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"lifting-from-the-deep-convolutional-3d-pose","repo_url":"https://github.com/DenisTome/Lifting-from-the-Deep-release","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":{"status":"ok","spdx":"GPL-3.0"}}],"tasks":[{"task_slug":"3d-human-pose-estimation","task_name":"3D Human Pose Estimation"},{"task_slug":"3d-pose-estimation","task_name":"3D Pose Estimation"},{"task_slug":"monocular-3d-human-pose-estimation","task_name":"Monocular 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/monocular-3d-human-pose-estimation-on-human3","task":"Monocular 3D Human Pose Estimation","dataset":"Human3.6M","model":"Projected-pose belief maps + 2D fusion layers","rank_in_archive_order":37,"of":52,"metrics":{"Average MPJPE (mm)":"88.39","Frames Needed":"1","Need Ground Truth 2D Pose":"No","Use Video Sequence":"No"},"uses_additional_data":false},{"leaderboard":"/sota/weakly-supervised-3d-human-pose-estimation-on","task":"Weakly-supervised 3D Human Pose Estimation","dataset":"Human3.6M","model":"Tome et al.","rank_in_archive_order":22,"of":33,"metrics":{"3D Annotations":"No","Average MPJPE (mm)":"88.4","Number of Frames Per View":"1","Number of Views":"1"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1701.00295","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}