{"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/4dpv-4d-pet-from-videos-by-coarse-to-fine-non","title":"4DPV: 4D Pet from Videos by Coarse-to-Fine Non-Rigid Radiance Fields","arxiv_id":"2411.10275","date":"2024-11-15","proceeding":null,"authors":["Sergio M. de Paco","Antonio Agudo"],"abstract":"We present a coarse-to-fine neural deformation model to simultaneously recover the camera pose and the 4D reconstruction of an unknown object from multiple RGB sequences in the wild. 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