<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gaussian Splatting on WANG Zhaofeng · Course Portfolio</title><link>https://zzefone.github.io/myblog/tags/gaussian-splatting/</link><description>Recent content in Gaussian Splatting on WANG Zhaofeng · Course Portfolio</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 21 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://zzefone.github.io/myblog/tags/gaussian-splatting/index.xml" rel="self" type="application/rss+xml"/><item><title>HCI Lab: Gaussian Splatting from Images to Unity</title><link>https://zzefone.github.io/myblog/posts/hci-lab-gaussian-splatting/</link><pubDate>Sat, 10 Oct 2026 00:00:00 +0000</pubDate><guid>https://zzefone.github.io/myblog/posts/hci-lab-gaussian-splatting/</guid><description>&lt;p&gt;This lab connects image-based training to a Unity scene. The trained model stores coloured, transparent 3D Gaussians rather than a triangle mesh. Each Gaussian has a position, scale, rotation and opacity; overlapping splats form the image seen by the camera.&lt;/p&gt;&#10;&lt;img src="https://zzefone.github.io/myblog/images/hci/gaussian-splatting/unity-filtered.png" alt="Two reconstructed hotdogs on a plate, rendered by the tested Unity Windows player using the filtered Gaussian model."&gt;&#10;&#10;&lt;p&gt;&lt;em&gt;Actual Unity camera capture, with the desktop control overlay excluded. Soft edges and stretched details are still visible.&lt;/em&gt;&lt;/p&gt;</description></item></channel></rss>