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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Improving Shape Deformation in Unsupervised Image-to-Image Translation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1808.04325/</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/1808.04325/feed.xml" rel="self" type="application/rss+xml" /><item><title>Improving Shape Deformation in Unsupervised Image-to-Image Translation — mentioned by gwern</title><link>https://news.ycombinator.com/item?id=18421343</link><guid isPermaLink="false">urn:hackerpapers:mention:1808.04325:18421343</guid><pubDate>Sat, 10 Nov 2018 13:59:23 GMT</pubDate><description>&lt;p&gt;(I contributed that one.) It&amp;#x27;s kind of annoying because when you first see CycleGAN, you think, &amp;#x27;this is amazing! I can use it for anything, like turning faces&amp;lt;-&amp;gt;anime!&amp;#x27; And then you actually try and you realize your photo&amp;lt;-&amp;gt;anime CycleGAN is just learning the steganographic encoding because the roundtripping is too good (&amp;#x27;wait, how does it reconstruct even the minor details of their hair so perfectly?&amp;#x27;) and so you wind up needing complicated regularization &amp;amp; tricks like &amp;quot;Improving Shape Deformation in Unsupervised Image-to-Image Translation&amp;quot; (https://arxiv.org/abs/1808.04325), Gokaslan et al…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1808.04325/"&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>
