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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2106.02782/</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/2106.02782/feed.xml" rel="self" type="application/rss+xml" /><item><title>On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework — mentioned by omneity</title><link>https://news.ycombinator.com/item?id=41303497</link><guid isPermaLink="false">urn:hackerpapers:mention:2106.02782:41303497</guid><pubDate>Tue, 20 Aug 2024 20:01:22 GMT</pubDate><description>&lt;p&gt;You&amp;#x27;re talking about lossy compression. Specifically perceptual lossy compression[0]. Lossless compression is entirely reversible. Nothing is lost and nothing is discarded, perceived or not, like zip. 0: https://arxiv.org/abs/2106.02782&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2106.02782/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.IT</category></item></channel></rss>
