{"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/generating-images-with-recurrent-adversarial","title":"Generating images with recurrent adversarial networks","arxiv_id":"1602.05110","date":"2016-02-16","proceeding":null,"authors":["Daniel Jiwoong Im","Chris Dongjoo Kim","Hui Jiang","Roland Memisevic"],"abstract":"Gatys et al. (2015) showed that optimizing pixels to match features in a\nconvolutional network with respect reference image features is a way to render\nimages of high visual quality. We show that unrolling this gradient-based\noptimization yields a recurrent computation that creates images by\nincrementally adding onto a visual \"canvas\". We propose a recurrent generative\nmodel inspired by this view, and show that it can be trained using adversarial\ntraining to generate very good image samples. We also propose a way to\nquantitatively compare adversarial networks by having the generators and\ndiscriminators of these networks compete against each other.","url_abs":"http://arxiv.org/abs/1602.05110v5","url_pdf":"http://arxiv.org/pdf/1602.05110v5.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":"generating-images-with-recurrent-adversarial","repo_url":"https://github.com/jiwoongim/GRAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"unrolling","task_name":"Rolling Shutter Correction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1602.05110","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}