{"blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","author_url":"https://blog.hatena.ne.jp/derwind/","provider_url":"https://hatena.blog","image_url":null,"version":"1.0","width":"100%","provider_name":"Hatena Blog","description":"GAN\u6982\u8981 \uff12\u9031\u9593\u3067\u3056\u3063\u3068GAN\u3092\u52c9\u5f37\u3057\u3066\u307f\u305f - Qiita \u8272\u3005\u3042\u308b\u306a\u3041 [1910.12604] FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization [1905.12502] GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks \u3053\u30fc\u3086\u30fc\u306e\u3082\u3042\u308b\u3093\u3060\u306a\u3002","height":"190","title":"\u8272\u3005\u306aGAN","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2020%2F04%2F07%2F024254\" title=\"\u8272\u3005\u306aGAN - \u3089\u3093\u3060\u3080\u306a\u8a18\u61b6\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_url":"https://randommemory.hatenablog.com/","url":"https://randommemory.hatenablog.com/entry/2020/04/07/024254","author_name":"derwind","published":"2020-04-07 02:42:54","categories":["machine_learning"],"type":"rich"}