<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>无监督学习 on AI 早报</title><link>https://ai-news.example.com/tags/%E6%97%A0%E7%9B%91%E7%9D%A3%E5%AD%A6%E4%B9%A0/</link><description>Recent content in 无监督学习 on AI 早报</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Sat, 04 Jul 2026 06:39:30 +0800</lastBuildDate><atom:link href="https://ai-news.example.com/tags/%E6%97%A0%E7%9B%91%E7%9D%A3%E5%AD%A6%E4%B9%A0/feed.xml" rel="self" type="application/rss+xml"/><item><title>[EN] MELON：无需初始姿态估计即可从少量图片重建3D物体</title><link>https://ai-news.example.com/articles/en-melon3d/</link><pubDate>Sat, 04 Jul 2026 06:39:30 +0800</pubDate><guid>https://ai-news.example.com/articles/en-melon3d/</guid><description>Google Research 团队提出 MELON 技术，能在无相机初始姿态、无预训练数据的条件下，仅凭4-6张图片即可高精度重建物体的3D NeRF模型，解决了姿态未知下的“先有鸡还是先有蛋”难题。</description></item></channel></rss>