{"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/venn-gan-discovering-commonalities-and","title":"Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions","arxiv_id":"1902.03444","date":"2019-02-09","proceeding":null,"authors":["Yasin Yazici","Bruno Lecouat","Chuan-Sheng Foo","Stefan Winkler","Kim-Hui Yap","Georgios Piliouras","Vijay Chandrasekhar"],"abstract":"We propose a GAN design which models multiple distributions effectively and\ndiscovers their commonalities and particularities. Each data distribution is\nmodeled with a mixture of $K$ generator distributions. As the generators are\npartially shared between the modeling of different true data distributions,\nshared ones captures the commonality of the distributions, while non-shared\nones capture unique aspects of them. We show the effectiveness of our method on\nvarious datasets (MNIST, Fashion MNIST, CIFAR-10, Omniglot, CelebA) with\ncompelling results.","url_abs":"http://arxiv.org/abs/1902.03444v1","url_pdf":"http://arxiv.org/pdf/1902.03444v1.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":"venn-gan-discovering-commonalities-and","repo_url":"https://github.com/yasinyazici/Venn_GAN","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[],"methods":[{"method_slug":"convolution","method_name":"Convolution"}],"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}