{"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/towards-the-automatic-anime-characters","title":"Towards the Automatic Anime Characters Creation with Generative Adversarial Networks","arxiv_id":"1708.05509","date":"2017-08-18","proceeding":null,"authors":["Yanghua Jin","Jiakai Zhang","Minjun Li","Yingtao Tian","Huachun Zhu","Zhihao Fang"],"abstract":"Automatic generation of facial images has been well studied after the\nGenerative Adversarial Network (GAN) came out. There exists some attempts\napplying the GAN model to the problem of generating facial images of anime\ncharacters, but none of the existing work gives a promising result. In this\nwork, we explore the training of GAN models specialized on an anime facial\nimage dataset. We address the issue from both the data and the model aspect, by\ncollecting a more clean, well-suited dataset and leverage proper, empirical\napplication of DRAGAN. With quantitative analysis and case studies we\ndemonstrate that our efforts lead to a stable and high-quality model. Moreover,\nto assist people with anime character design, we build a website\n(http://make.girls.moe) with our pre-trained model available online, which\nmakes the model easily accessible to general public.","url_abs":"http://arxiv.org/abs/1708.05509v1","url_pdf":"http://arxiv.org/pdf/1708.05509v1.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":"towards-the-automatic-anime-characters","repo_url":"https://github.com/Funaizhang/dics","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"towards-the-automatic-anime-characters","repo_url":"https://github.com/MasayaGit/AnimeGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"towards-the-automatic-anime-characters","repo_url":"https://github.com/Prakarsh-Bhardwaj/auto-animeface-generation-using-DCGAN-pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"towards-the-automatic-anime-characters","repo_url":"https://github.com/SiskonEmilia/Anime-Wifu-Dataset","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"towards-the-automatic-anime-characters","repo_url":"https://github.com/Tejas-Nanaware/GAN-Anime-Characters","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"towards-the-automatic-anime-characters","repo_url":"https://github.com/ctwxdd/Tensorflow-ACGAN-Anime-Generation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"towards-the-automatic-anime-characters","repo_url":"https://github.com/icyeyeball/Peitent","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":null,"task_name":"Generative Adversarial Network"},{"task_slug":"image-generation","task_name":"Image Generation"}],"methods":[{"method_slug":"convolution","method_name":"Convolution"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1708.05509","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}