<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>3D Generation | Hao Qin</title><link>https://qinbaigao.github.io/tags/3d-generation/</link><atom:link href="https://qinbaigao.github.io/tags/3d-generation/index.xml" rel="self" type="application/rss+xml"/><description>3D Generation</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 03 Apr 2025 00:00:00 +0000</lastBuildDate><image><url>https://qinbaigao.github.io/media/icon_hu_eee4a95885829ab2.png</url><title>3D Generation</title><link>https://qinbaigao.github.io/tags/3d-generation/</link></image><item><title>Distilling Multi-view Diffusion Models into 3D Generators</title><link>https://qinbaigao.github.io/publications/dd3g/</link><pubDate>Thu, 03 Apr 2025 00:00:00 +0000</pubDate><guid>https://qinbaigao.github.io/publications/dd3g/</guid><description>&lt;p&gt;DD3G transfers visual and spatial knowledge from a multi-view diffusion model into an efficient feed-forward 3D Gaussian generator.&lt;/p&gt;</description></item></channel></rss>