<?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 gulucaptain's Blog</title><link>https://gulucaptain.github.io/DailyPaper/tags/flow-matching/</link><description>Recent content in Flow Matching on gulucaptain's Blog</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Fri, 04 Sep 2026 09:00:00 +0800</lastBuildDate><atom:link href="https://gulucaptain.github.io/DailyPaper/tags/flow-matching/index.xml" rel="self" type="application/rss+xml"/><item><title>拒绝视频生成，深度跃迁提出具身基座模型全新路线</title><link>https://gulucaptain.github.io/DailyPaper/clips/dele-w0-5-embodied-foundation/</link><pubDate>Fri, 04 Sep 2026 09:00:00 +0800</pubDate><guid>https://gulucaptain.github.io/DailyPaper/clips/dele-w0-5-embodied-foundation/</guid><description>用 DINO-v3 编码的未来观测 latent 作训练期联合目标、推理时整支移除，640 次真机实验成功率 62.5%（最强基线 30%，2.1×）</description></item><item><title>ArXiv 每日精选 · 2026-06-06</title><link>https://gulucaptain.github.io/DailyPaper/posts/arxiv-daily-2026-06-06/</link><pubDate>Sun, 07 Jun 2026 06:00:00 +0800</pubDate><guid>https://gulucaptain.github.io/DailyPaper/posts/arxiv-daily-2026-06-06/</guid><description>精选 7 篇 ArXiv 最新 AI 论文，涵盖扩散模型推理优化、视频物理一致性、世界模型空间推理、具身智能等核心方向深度分析。</description></item></channel></rss>