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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Zero-shot Image-to-Image Translation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2302.03027/</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/2302.03027/feed.xml" rel="self" type="application/rss+xml" /><item><title>Zero-shot Image-to-Image Translation — mentioned by imranq</title><link>https://news.ycombinator.com/item?id=34791194</link><guid isPermaLink="false">urn:hackerpapers:mention:2302.03027:34791194</guid><pubDate>Tue, 14 Feb 2023 15:56:51 GMT</pubDate><description>&lt;p&gt;Actually this is wrong, after reading the paper: https://arxiv.org/pdf/2302.03027.pdf The main idea is to specify an edit direction which is a broad statement of what you want to do. The model then uses gpt-3 to generate text for that direction and then it calculates embeddings with CLIP and then the mean difference. The difference is used to guide the noise to make the final change. One pitfall seems like you can&amp;#x27;t specify very customized changes, but very cool approach&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2302.03027/"&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>
