<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Tue, 21 Apr 2026 12:44:19 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/style-transfer/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Yellow]]></title><description><![CDATA[Hey guys, hard to believe, but today's work is based on the same abstract than yesterday's. This time, I've run it through #styletransfer before I started outlining and filling. Here is the result after]]></description><link>http://direct.ecency.com/art/@shortcut/yellow</link><guid isPermaLink="true">http://direct.ecency.com/art/@shortcut/yellow</guid><category><![CDATA[art]]></category><dc:creator><![CDATA[shortcut]]></dc:creator><pubDate>Thu, 11 Feb 2021 12:30:03 GMT</pubDate><enclosure url="https://images.ecency.com/p/EfcLDDAkyqgrWe7KyyRHXzeiP1CJfhMppnSKMZVKJNX5Ea9ZKnAK9AYXExE2HPdo8YgEXEJ5UNmWkiWHGrRovrVHXdxHC?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Neural Style Transfer: Transferring One Artist's Style of Painting onto Another Image]]></title><description><![CDATA[Neural Style Transfer is one of the creative applications of deep learning. Here we transfer one artist's style of painting onto another image. Neural Style Transfer includes 3 images - Style Image,]]></description><link>http://direct.ecency.com/hive-175254/@aakrist/neural-style-transfer-transferring-one-artist-s-style-of-painting-onto-another-image</link><guid isPermaLink="true">http://direct.ecency.com/hive-175254/@aakrist/neural-style-transfer-transferring-one-artist-s-style-of-painting-onto-another-image</guid><category><![CDATA[hive-175254]]></category><dc:creator><![CDATA[aakrist]]></dc:creator><pubDate>Sat, 11 Jul 2020 04:27:42 GMT</pubDate><enclosure url="https://images.ecency.com/p/PB8ro82ZpZP35bVGjGoE93K3E4U5KX8KtMBJ2ri7fnssc6VuW8AR3bpNd8Lb5TG5jnb2Zhgyt1TWnMqciUYzUpHt4wTUJenpt68Mn4u29XZLYgnr?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[딥러닝으로 당신만의 명화를 그려드립니다.]]></title><description><![CDATA[@clayop님의 초보를 위한 딥러닝 시리즈의 성공을 기원하며 이 글을 적습니다. Style Transfer 2015년 가을쯤에 발표된 Style Transfer라는 기술이 있습니다. 간단히 설명하면 이미지 A, B가 있을때, A에다가 B의 스타일을 적용할 수 있는 기술입니다. 주로 유명 미술그림들이 B이미지로 많이 활용됩니다. 딥러닝기법인 convolutional]]></description><link>http://direct.ecency.com/dl4d/@sanghkaang/2uuyaf</link><guid isPermaLink="true">http://direct.ecency.com/dl4d/@sanghkaang/2uuyaf</guid><category><![CDATA[dl4d]]></category><dc:creator><![CDATA[sanghkaang]]></dc:creator><pubDate>Thu, 20 Apr 2017 23:24:00 GMT</pubDate><enclosure url="https://images.ecency.com/p/MvwLKy3SfvJwXFKCRMDAFrt961PGiutpGu4vkMsCr?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>