<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PCPNet on Ante Kapetanovic</title><link>https://antekapetanovic.com/tags/pcpnet/</link><description>Recent content in PCPNet on Ante Kapetanovic</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 26 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://antekapetanovic.com/tags/pcpnet/index.xml" rel="self" type="application/rss+xml"/><item><title>How Far Can an Agentic Research Loop Push a Standard Computer Graphics Baseline?</title><link>https://antekapetanovic.com/blog/phased-agent-normal-estimation/</link><pubDate>Sun, 26 Jul 2026 00:00:00 +0000</pubDate><guid>https://antekapetanovic.com/blog/phased-agent-normal-estimation/</guid><description>&lt;p&gt;Computer graphics papers often carry the same baseline numbers from one comparison table to the next. This is reasonable because reproducing every established method would consume time better spent evaluating the proposed contribution. It also leaves an interesting question unanswered. How much headroom remains in a mature baseline if it receives sustained attention from an agentic research loop?&lt;/p&gt;
&lt;p&gt;This study explores that question through point-cloud surface normal estimation, continuing earlier work on &lt;a href="https://medium.com/@akapet00/why-you-should-consider-b-splines-for-surface-normal-estimation-898c65ef0351"&gt;smoothing splines&lt;/a&gt; and &lt;a href="https://medium.com/@akapet00/beyond-one-size-fits-all-enhancing-accuracy-of-point-cloud-features-with-adaptive-neighborhood-f5fd7ff8cca4"&gt;adaptive neighborhood selection&lt;/a&gt;. The PCPNet benchmark is a useful case because PCA has remained a standard reference across years of normal-estimation papers. Its published average angular RMSE is &lt;strong&gt;16.25°&lt;/strong&gt;. The learned PCPNet method reports &lt;strong&gt;14.58°&lt;/strong&gt;, while the recent state of the art, PFF-Net, reports &lt;strong&gt;9.38°&lt;/strong&gt;.&lt;/p&gt;</description></item></channel></rss>