<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Flow-Matching on Xu'Blog</title><link>https://xuquant.com/tags/flow-matching/</link><description>Recent content in Flow-Matching on Xu'Blog</description><image><title>Xu'Blog</title><url>https://xuquant.com/images/profile.jpg</url><link>https://xuquant.com/images/profile.jpg</link></image><generator>Hugo -- 0.152.2</generator><language>en</language><lastBuildDate>Fri, 08 May 2026 18:00:00 +0800</lastBuildDate><atom:link href="https://xuquant.com/tags/flow-matching/index.xml" rel="self" type="application/rss+xml"/><item><title>何恺明团队 CVPR 2026 五篇论文全景：流匹配范式的多角度突破</title><link>https://xuquant.com/posts/kaiming-he-cvpr2026-five-papers-flow-matching-breakthrough/</link><pubDate>Fri, 08 May 2026 18:00:00 +0800</pubDate><guid>https://xuquant.com/posts/kaiming-he-cvpr2026-five-papers-flow-matching-breakthrough/</guid><description>深度解读何恺明团队 CVPR 2026 五篇论文：从 JiT 直接预测干净图像、VARC 纯视觉推理超越人类、BiFlow 归一化流 700 倍加速、iMF 无蒸馏单步生成 FID 1.72，到 Pixo 20 亿像素监督正面挑战 DINOv3。一场关于「生成范式」的系统性重构。</description></item></channel></rss>