{"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/fastdvdnet-towards-real-time-video-denoising","title":"FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation","arxiv_id":"1907.01361","date":"2019-07-01","proceeding":"CVPR 2020 6","authors":["Matias Tassano","Julie Delon","Thomas Veit"],"abstract":"In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture. 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