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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Network Interpolation for Continuous Imagery Effect Transition · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1811.10515/</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/1811.10515/feed.xml" rel="self" type="application/rss+xml" /><item><title>Deep Network Interpolation for Continuous Imagery Effect Transition — mentioned by liuliu</title><link>https://news.ycombinator.com/item?id=33731333</link><guid isPermaLink="false">urn:hackerpapers:mention:1811.10515:33731333</guid><pubDate>Thu, 24 Nov 2022 13:59:44 GMT</pubDate><description>&lt;p&gt;I thought so too until found that there are quite a bit of literatures nowadays about &amp;quot;merging&amp;quot; weights, for example, this one: https://arxiv.org/pdf/1811.10515.pdf and also the OpenCLIP paper.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1811.10515/"&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>
