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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Attend, Infer, Repeat: Fast Scene Understanding with Generative Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1603.08575/</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/1603.08575/feed.xml" rel="self" type="application/rss+xml" /><item><title>Attend, Infer, Repeat: Fast Scene Understanding with Generative Models — mentioned by espadrine</title><link>https://news.ycombinator.com/item?id=34754370</link><guid isPermaLink="false">urn:hackerpapers:mention:1603.08575:34754370</guid><pubDate>Sat, 11 Feb 2023 17:36:14 GMT</pubDate><description>&lt;p&gt;Nah. They need to walk before they can run. In 2016, their system could locate objects in a scene[0]. In 2017, it could answer questions about a scene[1]. In 2018, it could infer how a scene looks from any angle using a couple photos[2]. Now, it can perform inference tasks in a 3D scene. Going to the real world will require more work! But they will be helped by converging existing advances[3]. [0]: https://arxiv.org/pdf/1603.08575.pdf [1]: https://arxiv.org/pdf/1706.01427.pdf [2]: https://www.deepmind.com/blog/neural-scene-representation-an... [3]…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1603.08575/"&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>Attend, Infer, Repeat: Fast Scene Understanding with Generative Models — HN submission</title><link>https://news.ycombinator.com/item?id=11394857</link><guid isPermaLink="false">urn:hackerpapers:submission:1603.08575:11394857</guid><pubDate>Thu, 31 Mar 2016 03:49:07 GMT</pubDate><description>&lt;p&gt;Fast Scene Understanding – Hinton&amp;#x27;s Latest Paper&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/1603.08575/"&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>
