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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Differentiable Rendering: A Survey · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2006.12057/</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/2006.12057/feed.xml" rel="self" type="application/rss+xml" /><item><title>Differentiable Rendering: A Survey — mentioned by Timon3</title><link>https://news.ycombinator.com/item?id=33426761</link><guid isPermaLink="false">urn:hackerpapers:mention:2006.12057:33426761</guid><pubDate>Tue, 01 Nov 2022 20:07:04 GMT</pubDate><description>&lt;p&gt;Actually, that is the correct definition! It might sound unintuitive at first, but I think this paper[1] describes it really well (p.1): &amp;gt; The last years have clearly shown that neural networks are effective for 2D and 3D reasoning. However, most 3D estimation methods rely on supervised training regimes and costly annotations, which makes the collection of all properties of 3D observations challenging. Hence, there have been recent efforts towards leveraging easier-to-obtain 2D information and differing levels of supervision for 3D scene understanding. One of the approaches is integrating…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2006.12057/"&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>Differentiable Rendering: A Survey — mentioned by andersource</title><link>https://news.ycombinator.com/item?id=31326926</link><guid isPermaLink="false">urn:hackerpapers:mention:2006.12057:31326926</guid><pubDate>Tue, 10 May 2022 13:33:04 GMT</pubDate><description>&lt;p&gt;In case you&amp;#x27;re asking about the parent comment (s/Differential/Differentiable), it means the title should be &amp;quot;differentiable CV&amp;quot; (instead of &amp;quot;differential CV&amp;quot;). &amp;quot;Differentiable&amp;quot; describes some computation for which derivatives can be computed. &amp;quot;Differential&amp;quot; is a more general term which means that something has to do with differences, e.g. differential equations deal with equations that specify how things change together. With the recent surge in deep learning came significant improvements in optimization techniques and hardware, making it feasible to formulate some computations in a…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2006.12057/"&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>
