<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ICCV 2025 on SoloSoft</title><link>https://www.solosoft.dev/tags/iccv-2025/</link><description>Recent content in ICCV 2025 on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/iccv-2025/index.xml" rel="self" type="application/rss+xml"/><item><title>VACE: Alibaba's All-in-One Video Creation and Editing Model (ICCV 2025)</title><link>https://www.solosoft.dev/post/vace-video-creation-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/vace-video-creation-2026/</guid><description>&lt;p&gt;Video generation and editing have traditionally been handled by separate models &amp;ndash; one model for text-to-video, another for video stylization, yet another for inpainting. This fragmentation makes it difficult to build comprehensive video production pipelines and forces practitioners to learn multiple model interfaces. &lt;strong&gt;VACE&lt;/strong&gt; (Video All-to-All Creation and Editing) eliminates this problem by unifying all video creation and editing tasks in a single diffusion transformer model.&lt;/p&gt;
&lt;p&gt;Accepted at ICCV 2025, VACE is the work of Alibaba&amp;rsquo;s Tongyi Lab. The key insight behind VACE is that video creation and editing tasks share a common underlying structure: they all involve generating or modifying video content based on some combination of reference frames, text descriptions, and mask information. By designing a unified conditioning mechanism, VACE can handle all of these tasks without task-specific model variants.&lt;/p&gt;</description></item></channel></rss>