<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Segment</title><link>https://www.communeify.com/en/tag/segment/</link><description>Communeify - Your Community Platform</description><generator>Hugo</generator><atom:link href="https://www.communeify.com/en/tag/segment/" rel="self" type="application/rss+xml"/><item><title>Meta&amp;#39;s Latest AI Duo: How SAM 3 and SAM 3D are Helping Computers Understand the Real World</title><link>https://www.communeify.com/en/blog/meta-sam-3d-static-photo-to-3d-world-model/</link><guid isPermaLink="true">https://www.communeify.com/en/blog/meta-sam-3d-static-photo-to-3d-world-model/</guid><pubDate>Thu, 20 Nov 2025 08:54:46 +0800</pubDate><description> More than a year after the release of SAM 2, Meta has simultaneously unveiled its next-generation vision models, SAM 3 and SAM 3D. The former can understand commands and accurately track objects in videos, while the latter can instantly convert flat photos into 3D models. The combination of these two technologies not only changes the logic of image editing but also evolves computer vision from &amp;amp;ldquo;recognition&amp;amp;rdquo; to &amp;amp;ldquo;spatial understanding.&amp;amp;rdquo; This article will take you through the technical core of these two major models, their practical applications, and how they are changing our digital lives.</description></item></channel></rss>