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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Extreme Video Compression with Pre-trained Diffusion Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2402.08934/</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/2402.08934/feed.xml" rel="self" type="application/rss+xml" /><item><title>Extreme Video Compression with Pre-trained Diffusion Models — mentioned by resolutebat</title><link>https://news.ycombinator.com/item?id=39437896</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.08934:39437896</guid><pubDate>Tue, 20 Feb 2024 03:55:11 GMT</pubDate><description>&lt;p&gt;Here&amp;#x27;s the research behind this: https://arxiv.org/html/2402.08934v1 As a casual non-scholar, non-AI person trying to parse this though, it&amp;#x27;s infuriatingly convoluted. I was expecting a table of &amp;quot;given source file X, we got file size Y with quality loss Z&amp;quot;, but while quality (SSIM/LPIPS) is compared to standard codecs like H.264, for the life of me I can&amp;#x27;t find any measure of how efficient the compression is here. Applying AI to image compression has been tried before though, with distinctly mediocre results: some may recall the Xerox debacle about 10 years, when it turned out copiers were…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.08934/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.IV</category></item><item><title>Extreme Video Compression with Pre-trained Diffusion Models — mentioned by resolutebat</title><link>https://news.ycombinator.com/item?id=39437859</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.08934:39437859</guid><pubDate>Tue, 20 Feb 2024 03:49:27 GMT</pubDate><description>&lt;p&gt;Direct link to HTML article: https://arxiv.org/html/2402.08934v1 Unfortunately it only contains still images with teeny thumbnails: https://arxiv.org/html/2402.08934v1/x2.png&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.08934/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.IV</category></item><item><title>Extreme Video Compression with Pre-trained Diffusion Models — mentioned by yonixw</title><link>https://news.ycombinator.com/item?id=39435104</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.08934:39435104</guid><pubDate>Mon, 19 Feb 2024 21:35:59 GMT</pubDate><description>&lt;p&gt;Googling gave me the article: https://www.arxiv.org/abs/2402.08934 Which have examples in it.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.08934/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.IV</category></item></channel></rss>
