{"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/nvs-solver-video-diffusion-model-as-zero-shot","title":"NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer","arxiv_id":"2405.15364","date":"2024-05-24","proceeding":null,"authors":["Meng You","Zhiyu Zhu","Hui Liu","Junhui Hou"],"abstract":"By harnessing the potent generative capabilities of pre-trained large video diffusion models, we propose NVS-Solver, a new novel view synthesis (NVS) paradigm that operates \\textit{without} the need for training. 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