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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Toward Accurate and Realistic Virtual Try-on Through Shape Matching and Multiple Warps · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2003.10817/</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/2003.10817/feed.xml" rel="self" type="application/rss+xml" /><item><title>Toward Accurate and Realistic Virtual Try-on Through Shape Matching and Multiple Warps — HN submission</title><link>https://news.ycombinator.com/item?id=27504190</link><guid isPermaLink="false">urn:hackerpapers:submission:2003.10817:27504190</guid><pubDate>Mon, 14 Jun 2021 15:59:13 GMT</pubDate><description>&lt;p&gt;Launch HN: Revery.AI (YC S21) Scalable deep learning-based virtual dressing room&lt;/p&gt;&lt;p&gt;Hi HN! We are Kedan, Jeff, and Min Jin and we are co-founders of Revery AI. We&amp;#x27;ve built a virtual dressing room for online retailers that allows customers to visualize any combination of garments on any model. The rise of online shopping has posed significant challenges for fashion retailers. The lack of ability to try on and visualize outfits has made shopping less interactive, contributing to low conversion rates and high return rates compared to brick-and-mortar shopping. Virtual dressing rooms can recreate the lost experience of trying on clothes in person. There are other companies…&lt;/p&gt;&lt;p&gt;103 points; 62 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2003.10817/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
