{"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/eye-in-painting-with-exemplar-generative","title":"Eye In-Painting with Exemplar Generative Adversarial Networks","arxiv_id":"1712.03999","date":"2017-12-11","proceeding":"CVPR 2018 6","authors":["Brian Dolhansky","Cristian Canton Ferrer"],"abstract":"This paper introduces a novel approach to in-painting where the identity of\nthe object to remove or change is preserved and accounted for at inference\ntime: Exemplar GANs (ExGANs). ExGANs are a type of conditional GAN that utilize\nexemplar information to produce high-quality, personalized in painting results.\nWe propose using exemplar information in the form of a reference image of the\nregion to in-paint, or a perceptual code describing that object. Unlike\nprevious conditional GAN formulations, this extra information can be inserted\nat multiple points within the adversarial network, thus increasing its\ndescriptive power. We show that ExGANs can produce photo-realistic personalized\nin-painting results that are both perceptually and semantically plausible by\napplying them to the task of closed to-open eye in-painting in natural\npictures. A new benchmark dataset is also introduced for the task of eye\nin-painting for future comparisons.","url_abs":"http://arxiv.org/abs/1712.03999v1","url_pdf":"http://arxiv.org/pdf/1712.03999v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"eye-in-painting-with-exemplar-generative","repo_url":"https://github.com/bdol/exemplar_gans","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"eye-in-painting-with-exemplar-generative","repo_url":"https://github.com/zhangqianhui/Exemplar-GAN-Eye-Inpainting-Tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"descriptive","task_name":"Descriptive"}],"methods":[{"method_slug":"convolution","method_name":"Convolution"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1712.03999","atlas_url":"https://app.syntology.ai/?focus=1712.03999","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}