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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2106.14843/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2106.14843/feed.xml" rel="self" type="application/rss+xml" /><item><title>CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders — mentioned by snats</title><link>https://news.ycombinator.com/item?id=42050951</link><guid isPermaLink="false">urn:hackerpapers:mention:2106.14843:42050951</guid><pubDate>Tue, 05 Nov 2024 12:22:53 GMT</pubDate><description>&lt;p&gt;I made some image generation with CLIP and Evolutionary algorithms not so long ago[1] and the results had a bit more life than I was expecting. It is still a contested area of research and you have some cool stuff like CLIPDraw[2] where they use gradient decent to approximate a vector to the embeddings of CLIP. [1] https://snats.xyz/pages/articles/optimizing_images.html [2] https://arxiv.org/pdf/2106.14843&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2106.14843/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
