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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Taming Transformers for High-Resolution Image Synthesis · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2012.09841/</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/2012.09841/feed.xml" rel="self" type="application/rss+xml" /><item><title>Taming Transformers for High-Resolution Image Synthesis — mentioned by dplavery92</title><link>https://news.ycombinator.com/item?id=36498678</link><guid isPermaLink="false">urn:hackerpapers:mention:2012.09841:36498678</guid><pubDate>Tue, 27 Jun 2023 21:07:16 GMT</pubDate><description>&lt;p&gt;From Sections 3 and 4 of the VQGAN paper[1] upon this work is built: &amp;quot;To generate images in the megapixel regime, we ... have to work patch-wise and crop images to restrict the length of [the quantized encoding vector] s to a maximally feasible size during training. To sample images, we then use the transformer in a sliding-window manner as illustrated in Fig.3.&amp;quot; ... &amp;quot;The sliding window approach introduced in Sec.3.2 enables image synthesis beyond a resolution of 256×256pixels.&amp;quot; From the Paella paper[2]: &amp;quot;Our proposal builds on the two-stage paradigm introduced by Esser et al. and consists of…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2012.09841/"&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>
