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    Chapter and Conference Paper

    DHSGAN: An End to End Dehazing Network for Fog and Smoke

    In this paper we propose a novel end-to-end convolution dehazing architecture, called De-Haze and Smoke GAN (DHSGAN). The model is trained under a generative adversarial network framework to effectively learn ...

    Ramavtar Malav, Ayoung Kim, Soumya Ranjan Sahoo in Computer Vision – ACCV 2018 (2019)