{"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/tilegan-synthesis-of-large-scale-non","title":"TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures","arxiv_id":"1904.12795","date":"2019-04-29","proceeding":null,"authors":["Anna Frühstück","Ibraheem Alhashim","Peter Wonka"],"abstract":"We tackle the problem of texture synthesis in the setting where many input\nimages are given and a large-scale output is required. We build on recent\ngenerative adversarial networks and propose two extensions in this paper.\nFirst, we propose an algorithm to combine outputs of GANs trained on a smaller\nresolution to produce a large-scale plausible texture map with virtually no\nboundary artifacts. Second, we propose a user interface to enable artistic\ncontrol. Our quantitative and qualitative results showcase the generation of\nsynthesized high-resolution maps consisting of up to hundreds of megapixels as\na case in point.","url_abs":"http://arxiv.org/abs/1904.12795v1","url_pdf":"http://arxiv.org/pdf/1904.12795v1.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":"tilegan-synthesis-of-large-scale-non","repo_url":"https://github.com/afruehstueck/tileGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"image-generation","task_name":"Image Generation"},{"task_slug":"image-stylization","task_name":"Image Stylization"},{"task_slug":"texture-synthesis","task_name":"Texture Synthesis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}