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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Point-NeRF: Point-based Neural Radiance Fields · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2201.08845/</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/2201.08845/feed.xml" rel="self" type="application/rss+xml" /><item><title>Point-NeRF: Point-based Neural Radiance Fields — mentioned by mefarza123</title><link>https://news.ycombinator.com/item?id=36167854</link><guid isPermaLink="false">urn:hackerpapers:mention:2201.08845:36167854</guid><pubDate>Fri, 02 Jun 2023 17:08:31 GMT</pubDate><description>&lt;p&gt;I found some papers which propose alternative methods (source: https://MirrorThink.ai): 1. Point-NeRF: Point-based Neural Radiance Fields - 2022: This paper presents Point-NeRF, a localized neural representation that combines volumetric radiance fields with point clouds to model complex local scene geometry and appearance. It achieves better rendering quality than NeRF and is more efficient in reconstructing complex and large-scale scenes. 2. TensoRF: Tensorial Radiance Fields - 2022: TensoRF proposes a tensorial radiance field representation that can achieve fast reconstruction and high…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2201.08845/"&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>
