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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Diffusion Models Are Real-Time Game Engines · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2408.14837/</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/2408.14837/feed.xml" rel="self" type="application/rss+xml" /><item><title>Diffusion Models Are Real-Time Game Engines — mentioned by ben_w</title><link>https://news.ycombinator.com/item?id=42004013</link><guid isPermaLink="false">urn:hackerpapers:mention:2408.14837:42004013</guid><pubDate>Thu, 31 Oct 2024 06:28:23 GMT</pubDate><description>&lt;p&gt;We&amp;#x27;re not a huge distance from that already. https://arxiv.org/abs/2408.14837 Also TIL this is generated at 20 frames per second, the best I&amp;#x27;ve used myself was &amp;quot;only&amp;quot; 4-5; does anyone know the performance and power consumption of a Google TPU?&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2408.14837/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Diffusion Models Are Real-Time Game Engines — HN submission</title><link>https://news.ycombinator.com/item?id=41486754</link><guid isPermaLink="false">urn:hackerpapers:submission:2408.14837:41486754</guid><pubDate>Mon, 09 Sep 2024 09:20:00 GMT</pubDate><description>&lt;p&gt;Diffusion models are real-time game engines&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/2408.14837/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Diffusion Models Are Real-Time Game Engines — HN submission</title><link>https://news.ycombinator.com/item?id=41387461</link><guid isPermaLink="false">urn:hackerpapers:submission:2408.14837:41387461</guid><pubDate>Thu, 29 Aug 2024 04:54:57 GMT</pubDate><description>&lt;p&gt;Diffusion models are real time game engines&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/2408.14837/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Diffusion Models Are Real-Time Game Engines — HN submission</title><link>https://news.ycombinator.com/item?id=41386088</link><guid isPermaLink="false">urn:hackerpapers:submission:2408.14837:41386088</guid><pubDate>Thu, 29 Aug 2024 00:49:38 GMT</pubDate><description>&lt;p&gt;Diffusion Models Are Real-Time Game Engines&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/2408.14837/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Diffusion Models Are Real-Time Game Engines — mentioned by krasin</title><link>https://news.ycombinator.com/item?id=41376696</link><guid isPermaLink="false">urn:hackerpapers:mention:2408.14837:41376696</guid><pubDate>Wed, 28 Aug 2024 06:53:06 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s very hard to respond to a comment like that, since there&amp;#x27;s no specifics, just a plain disagreement. On my side, I would like to point that the today HN thread ([1]) that discusses a paper GameNGen ([2]) that runs Doom with diffusion models was trained on TPUs. I don&amp;#x27;t see a dependency on NVIDIA there. If there&amp;#x27;s a more specific rebuttal to my original statement, please, don&amp;#x27;t hesitate to state it. 1. https://news.ycombinator.com/item?id=41375548 2. https://gamengen.github.io/ 3. https://arxiv.org/abs/2408.14837&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2408.14837/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
