{"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/stargan-unified-generative-adversarial","title":"StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation","arxiv_id":"1711.09020","date":"2017-11-24","proceeding":"CVPR 2018 6","authors":["Yunjey Choi","Min-Je Choi","Munyoung Kim","Jung-Woo Ha","Sunghun Kim","Jaegul Choo"],"abstract":"Recent studies have shown remarkable success in image-to-image translation\nfor two domains. 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