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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1904.01121/</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/1904.01121/feed.xml" rel="self" type="application/rss+xml" /><item><title>HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models — mentioned by rg111</title><link>https://news.ycombinator.com/item?id=29842185</link><guid isPermaLink="false">urn:hackerpapers:mention:1904.01121:29842185</guid><pubDate>Fri, 07 Jan 2022 17:48:39 GMT</pubDate><description>&lt;p&gt;For many generative models, this is on the way to become a standard- using Humans as a judge of generated material, and this is not limited to Computer Vision either. I am about to use this technique to judge the sanity of text generated by a Transformer model for a paper that I am writing (with a small group). There are also attempts to properly standardize it, and this is called- HYPE [0]. And there are big names like Fei-Fei Li and Michael Bernstein behind it. [0]: https://arxiv.org/abs/1904.01121&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1904.01121/"&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>
