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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2104.03015/</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/2104.03015/feed.xml" rel="self" type="application/rss+xml" /><item><title>RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network — mentioned by stellastra</title><link>https://news.ycombinator.com/item?id=28995599</link><guid isPermaLink="false">urn:hackerpapers:mention:2104.03015:28995599</guid><pubDate>Tue, 26 Oct 2021 02:02:09 GMT</pubDate><description>&lt;p&gt;RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network arXiv: https://arxiv.org/abs/2104.03015 code: https://github.com/nashory/rtic-gcn-pytorch&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2104.03015/"&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>
