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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1907.10830/</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/1907.10830/feed.xml" rel="self" type="application/rss+xml" /><item><title>U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation — mentioned by beagle3</title><link>https://news.ycombinator.com/item?id=22894195</link><guid isPermaLink="false">urn:hackerpapers:mention:1907.10830:22894195</guid><pubDate>Thu, 16 Apr 2020 22:25:12 GMT</pubDate><description>&lt;p&gt;Medium article https://medium.com/syncedreview/unsupervised-image-to-image-... Arxiv: https://arxiv.org/pdf/1907.10830.pdf GitHub: https://github.com/taki0112/UGATIT h/t to Reddit, thought HN would be interested.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1907.10830/"&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>
