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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Lossy Compression with Gaussian Diffusion · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2206.08889/</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/2206.08889/feed.xml" rel="self" type="application/rss+xml" /><item><title>Lossy Compression with Gaussian Diffusion — mentioned by RiversHaveWings</title><link>https://news.ycombinator.com/item?id=32674959</link><guid isPermaLink="false">urn:hackerpapers:mention:2206.08889:32674959</guid><pubDate>Thu, 01 Sep 2022 11:36:54 GMT</pubDate><description>&lt;p&gt;Diffusion models can be used to lossily compress images for real, see for example Lossy Compression with Gaussian Diffusion (https://arxiv.org/abs/2206.08889). I would expect this to work with text-conditional diffusion models too and give you better compression when supplying a correct caption.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2206.08889/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item><item><title>Lossy Compression with Gaussian Diffusion — HN submission</title><link>https://news.ycombinator.com/item?id=31806696</link><guid isPermaLink="false">urn:hackerpapers:submission:2206.08889:31806696</guid><pubDate>Mon, 20 Jun 2022 05:41:51 GMT</pubDate><description>&lt;p&gt;Lossy Compression with Gaussian Diffusion&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2206.08889/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
