{"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/co-slam-joint-coordinate-and-sparse","title":"Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM","arxiv_id":"2304.14377","date":"2023-04-27","proceeding":"CVPR 2023 1","authors":["Hengyi Wang","Jingwen Wang","Lourdes Agapito"],"abstract":"We present Co-SLAM, a neural RGB-D SLAM system based on a hybrid representation, that performs robust camera tracking and high-fidelity surface reconstruction in real time. 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