{"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/unsupervised-person-image-generation-with","title":"Unsupervised Person Image Generation with Semantic Parsing Transformation","arxiv_id":"1904.03379","date":"2019-04-06","proceeding":"CVPR 2019 6","authors":["Sijie Song","Wei zhang","Jiaying Liu","Tao Mei"],"abstract":"In this paper, we address unsupervised pose-guided person image generation,\nwhich is known challenging due to non-rigid deformation. Unlike previous\nmethods learning a rock-hard direct mapping between human bodies, we propose a\nnew pathway to decompose the hard mapping into two more accessible subtasks,\nnamely, semantic parsing transformation and appearance generation. Firstly, a\nsemantic generative network is proposed to transform between semantic parsing\nmaps, in order to simplify the non-rigid deformation learning. Secondly, an\nappearance generative network learns to synthesize semantic-aware textures.\nThirdly, we demonstrate that training our framework in an end-to-end manner\nfurther refines the semantic maps and final results accordingly. Our method is\ngeneralizable to other semantic-aware person image generation tasks, eg,\nclothing texture transfer and controlled image manipulation. Experimental\nresults demonstrate the superiority of our method on DeepFashion and\nMarket-1501 datasets, especially in keeping the clothing attributes and better\nbody shapes.","url_abs":"http://arxiv.org/abs/1904.03379v2","url_pdf":"http://arxiv.org/pdf/1904.03379v2.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":"unsupervised-person-image-generation-with","repo_url":"https://github.com/SijieSong/person_generation_spt","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"image-generation","task_name":"Image Generation"},{"task_slug":"image-manipulation","task_name":"Image Manipulation"},{"task_slug":"semantic-parsing","task_name":"Semantic Parsing"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1904.03379","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}