{"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/depth-based-3d-hand-pose-estimation-from","title":"Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals","arxiv_id":"1712.03917","date":"2017-12-11","proceeding":"CVPR 2018 6","authors":["Shanxin Yuan","Guillermo Garcia-Hernando","Bjorn Stenger","Gyeongsik Moon","Ju Yong Chang","Kyoung Mu Lee","Pavlo Molchanov","Jan Kautz","Sina Honari","Liuhao Ge","Junsong Yuan","Xinghao Chen","Guijin Wang","Fan Yang","Kai Akiyama","Yang Wu","Qingfu Wan","Meysam Madadi","Sergio Escalera","Shile Li","Dongheui Lee","Iason Oikonomidis","Antonis Argyros","Tae-Kyun Kim"],"abstract":"Official Torch7 implementation of \"V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map\", CVPR 2018","url_abs":"http://arxiv.org/abs/1712.03917v2","url_pdf":"http://arxiv.org/pdf/1712.03917v2.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":"depth-based-3d-hand-pose-estimation-from","repo_url":"https://github.com/mks0601/V2V-PoseNet_RELEASE","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"3d-hand-pose-estimation","task_name":"3D Hand Pose Estimation"},{"task_slug":"3d-pose-estimation","task_name":"3D Pose Estimation"},{"task_slug":"hand-pose-estimation","task_name":"Hand Pose Estimation"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"},{"task_slug":"prediction","task_name":"Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/hand-pose-estimation-on-hands-2017","task":"Hand Pose Estimation","dataset":"HANDS 2017","model":"RCN-3D","rank_in_archive_order":5,"of":9,"metrics":{"Average 3D Error":"9.97"},"uses_additional_data":false},{"leaderboard":"/sota/hand-pose-estimation-on-hands-2017","task":"Hand Pose Estimation","dataset":"HANDS 2017","model":"Vanora","rank_in_archive_order":9,"of":9,"metrics":{"Average 3D Error":"11.91"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1712.03917","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}