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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Advances in Neural Rendering · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2111.05849/</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/2111.05849/feed.xml" rel="self" type="application/rss+xml" /><item><title>Advances in Neural Rendering — mentioned by goodmattg</title><link>https://news.ycombinator.com/item?id=31745773</link><guid isPermaLink="false">urn:hackerpapers:mention:2111.05849:31745773</guid><pubDate>Tue, 14 Jun 2022 20:41:43 GMT</pubDate><description>&lt;p&gt;Uses coordinate-based neural networks to model the scene volumetrically. However, in the case of this paper does not use an MLP to represent the scene. Instead, proposes to directly learn a voxel grid representation. For an excellent review check out Advances in Neural Rendering: https://arxiv.org/abs/2111.05849&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2111.05849/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.GR</category></item></channel></rss>
