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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2008.02268/</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/2008.02268/feed.xml" rel="self" type="application/rss+xml" /><item><title>NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections — mentioned by duckworthd</title><link>https://news.ycombinator.com/item?id=24074845</link><guid isPermaLink="false">urn:hackerpapers:mention:2008.02268:24074845</guid><pubDate>Thu, 06 Aug 2020 20:01:38 GMT</pubDate><description>&lt;p&gt;The model does not explicitly learn to segment images. The answer is unfortunately more difficult to explain than a HN comment bears. I encourage you to read the paper for more details. https://arxiv.org/abs/2008.02268&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2008.02268/"&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>NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections — mentioned by duckworthd</title><link>https://news.ycombinator.com/item?id=24074746</link><guid isPermaLink="false">urn:hackerpapers:mention:2008.02268:24074746</guid><pubDate>Thu, 06 Aug 2020 19:51:22 GMT</pubDate><description>&lt;p&gt;&amp;gt; This looks amazing! Congratulations. Thank you! &amp;gt; What was the most challenging aspect of this? Wow, that&amp;#x27;s hard to say! Our work truly stands on the shoulders of giants (Mildenhall et al, 2020). I can list off a few challenges: figuring out if an idea &amp;quot;kinda works&amp;quot; or &amp;quot;definitely works&amp;quot; or has a bug, figuring out how to measure progress, coordinating a group of 6 researchers living 9 hours apart, and assembling everything together for a simultaneous paper-website-video release! &amp;gt; I&amp;#x27;m curious to see how you performed edge detection on the transient objects and were able to isolate them so…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2008.02268/"&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>
