{"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/detailed-accurate-human-shape-estimation-from","title":"Detailed, accurate, human shape estimation from clothed 3D scan sequences","arxiv_id":"1703.04454","date":"2017-03-13","proceeding":"CVPR 2017 7","authors":["Chao Zhang","Sergi Pujades","Michael Black","Gerard Pons-Moll"],"abstract":"We address the problem of estimating human pose and body shape from 3D scans\nover time. Reliable estimation of 3D body shape is necessary for many\napplications including virtual try-on, health monitoring, and avatar creation\nfor virtual reality. Scanning bodies in minimal clothing, however, presents a\npractical barrier to these applications. We address this problem by estimating\nbody shape under clothing from a sequence of 3D scans. Previous methods that\nhave exploited body models produce smooth shapes lacking personalized details.\nWe contribute a new approach to recover a personalized shape of the person. The\nestimated shape deviates from a parametric model to fit the 3D scans. We\ndemonstrate the method using high quality 4D data as well as sequences of\nvisual hulls extracted from multi-view images. We also make available BUFF, a\nnew 4D dataset that enables quantitative evaluation\n(http://buff.is.tue.mpg.de). Our method outperforms the state of the art in\nboth pose estimation and shape estimation, qualitatively and quantitatively.","url_abs":"http://arxiv.org/abs/1703.04454v2","url_pdf":"http://arxiv.org/pdf/1703.04454v2.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":"detailed-accurate-human-shape-estimation-from","repo_url":"https://github.com/maria-korosteleva/Body-Shape-Estimation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"pose-estimation","task_name":"Pose Estimation"},{"task_slug":"virtual-try-on","task_name":"Virtual Try-on"}],"methods":[],"datasets_introduced":[{"slug":"buff","name":"BUFF","full_name":"Bodies Under Flowing Fashion"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1703.04454","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}