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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Parallel Multiscale Autoregressive Density Estimation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1703.03664/</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/1703.03664/feed.xml" rel="self" type="application/rss+xml" /><item><title>Parallel Multiscale Autoregressive Density Estimation — mentioned by gwern</title><link>https://news.ycombinator.com/item?id=14714803</link><guid isPermaLink="false">urn:hackerpapers:mention:1703.03664:14714803</guid><pubDate>Thu, 06 Jul 2017 23:27:38 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s a combination of GPU RAM, slowdowns (remember it&amp;#x27;s squared in dimensions), and stability (larger is more unstable end-to-end). Arguably, state of the art in image synthesis is DeepMind&amp;#x27;s PixelCNN: &amp;quot;Parallel Multiscale Autoregressive Density Estimation&amp;quot; https://arxiv.org/abs/1703.03664 , Reed et al 2017: generating 512px photorealistic images &amp;amp; video with PixelCNNs rather than GANs. Also good is StackGAN which does ~200x200ish but there&amp;#x27;s no reason it couldn&amp;#x27;t go up to 500x500 (just pop in a third upscaling stage). There&amp;#x27;s far more work on GANs than PixelCNNs (see the…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1703.03664/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Parallel Multiscale Autoregressive Density Estimation — HN submission</title><link>https://news.ycombinator.com/item?id=14431016</link><guid isPermaLink="false">urn:hackerpapers:submission:1703.03664:14431016</guid><pubDate>Sat, 27 May 2017 17:40:22 GMT</pubDate><description>&lt;p&gt;Generating 512px photorealistic images and video with PixelCNNs&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1703.03664/"&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>
