{"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/humannerf-free-viewpoint-rendering-of-moving","title":"HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video","arxiv_id":"2201.04127","date":"2022-01-11","proceeding":"CVPR 2022 1","authors":["Chung-Yi Weng","Brian Curless","Pratul P. Srinivasan","Jonathan T. Barron","Ira Kemelmacher-Shlizerman"],"abstract":"We introduce a free-viewpoint rendering method -- HumanNeRF -- that works on a given monocular video of a human performing complex body motions, e.g. a video from YouTube. 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