{"height":"190","categories":["machine_learning","MOOC"],"provider_name":"Hatena Blog","url":"https://randommemory.hatenablog.com/entry/2020/01/11/231610","provider_url":"https://hatena.blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2020%2F01%2F11%2F231610\" title=\"Style Transfer (ud188) - \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>","width":"100%","version":"1.0","author_name":"derwind","image_url":null,"description":"\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3067Style Transfer\u3092\u884c\u3046\u8ad6\u6587\u306e\u7d39\u4ecb - Qiita \u3075\u3080\u3075\u3080\u3002 https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf\u304c\u5143\u3005\u306e\u8ad6\u6587\u304b\u3002Neural Style Transfer: Prisma\u306e\u80cc\u666f\u6280\u8853\u3092\u89e3\u8aac\u3059\u308b \u5168\u7136\u5206\u304b\u3063\u3066\u306a\u3044\u3051\u3069\u3001\u3053\u3061\u3089\u306e\u89e3\u8aac\u8a18\u4e8b\u3082\u8aad\u307f\u3064\u3064\u30fb\u30fb\u30fb\u539f\u8ad6\u6587 p.6 \u306e\u300c3. Results\u300d\u306e The images shown in Fig 3 were synthesise\u2026","title":"Style Transfer (ud188)","type":"rich","published":"2020-01-11 23:16:10","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","blog_url":"https://randommemory.hatenablog.com/","author_url":"https://blog.hatena.ne.jp/derwind/"}