{"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/style-transfer-for-anime-sketches-with","title":"Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN","arxiv_id":"1706.03319","date":"2017-06-11","proceeding":null,"authors":["Lvmin Zhang","Yi Ji","Xin Lin"],"abstract":"Recently, with the revolutionary neural style transferring methods,\ncreditable paintings can be synthesized automatically from content images and\nstyle images. However, when it comes to the task of applying a painting's style\nto an anime sketch, these methods will just randomly colorize sketch lines as\noutputs and fail in the main task: specific style tranfer. In this paper, we\nintegrated residual U-net to apply the style to the gray-scale sketch with\nauxiliary classifier generative adversarial network (AC-GAN). The whole process\nis automatic and fast, and the results are creditable in the quality of art\nstyle as well as colorization.","url_abs":"http://arxiv.org/abs/1706.03319v2","url_pdf":"http://arxiv.org/pdf/1706.03319v2.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":"style-transfer-for-anime-sketches-with","repo_url":"https://github.com/icyeyeball/Peitent","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"style-transfer-for-anime-sketches-with","repo_url":"https://github.com/lllyasviel/style2paints","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"colorization","task_name":"Colorization"},{"task_slug":null,"task_name":"Generative Adversarial Network"},{"task_slug":"style-transfer","task_name":"Style Transfer"}],"methods":[{"method_slug":"concatenated-skip-connection","method_name":"Concatenated Skip Connection"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"max-pooling","method_name":"Max Pooling"},{"method_slug":"relu","method_name":"ReLU"},{"method_slug":"u-net","method_name":"U-Net"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1706.03319","atlas_url":"https://app.syntology.ai/?focus=1706.03319","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}