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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2205.15868/</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/2205.15868/feed.xml" rel="self" type="application/rss+xml" /><item><title>CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers — mentioned by nodja</title><link>https://news.ycombinator.com/item?id=32820267</link><guid isPermaLink="false">urn:hackerpapers:mention:2205.15868:32820267</guid><pubDate>Tue, 13 Sep 2022 03:09:25 GMT</pubDate><description>&lt;p&gt;Depending on how you&amp;#x27;re measuring it, video generation will come in less than 12 months, or it&amp;#x27;s already here. - In the Video Diffusion paper[1] they generate 64x64 16 frame videos, model is not released, but an open source implementation using an imagen-like pipeline exists[2], no model is available publicly. - The CogVideo paper[3], which is essentially a huge transformer model, can generate 480x480 videos, the code for the paper and models are open source[4], but be warned that you need a huge GPU like an A100 to run the damned thing. The future of text to video generation will probably be…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2205.15868/"&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>
