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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MonoPatchNeRF: Improving Neural Radiance Fields with Patch-based Monocular Guidance · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2404.08252/</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/2404.08252/feed.xml" rel="self" type="application/rss+xml" /><item><title>MonoPatchNeRF: Improving Neural Radiance Fields with Patch-based Monocular Guidance — mentioned by Stedag</title><link>https://news.ycombinator.com/item?id=41745626</link><guid isPermaLink="false">urn:hackerpapers:mention:2404.08252:41745626</guid><pubDate>Fri, 04 Oct 2024 21:11:20 GMT</pubDate><description>&lt;p&gt;I work on Time-of-flight camera&amp;#x27;s that need to handle the kind of data that you&amp;#x27;re referring too. Each pixel takes a multiple measurements over time of the intensity of reflected light that matches the emission pulse encodings. The result is essentially a vector of intensity over a set of distances. A low depth resolution example of reflected intensity by time (distance): i: _ _ ^ _ ^ - _ _ d: 0 1 2 3 4 5 6 7 In the above example, the pixel would exhibit an ambiguity between distances of 2 and 4. The simplest solution is to select the weighted average or median distance, which results in…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2404.08252/"&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>
