{"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/nerf-neural-radiance-fields-without-known","title":"NeRF--: Neural Radiance Fields Without Known Camera Parameters","arxiv_id":"2102.07064","date":"2021-02-14","proceeding":null,"authors":["ZiRui Wang","Shangzhe Wu","Weidi Xie","Min Chen","Victor Adrian Prisacariu"],"abstract":"Considering the problem of novel view synthesis (NVS) from only a set of 2D images, we simplify the training process of Neural Radiance Field (NeRF) on forward-facing scenes by removing the requirement of known or pre-computed camera parameters, including both intrinsics and 6DoF poses. 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