<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>video-generation — NestFrontier</title><description>Technical AI analysis and research on video-generation.</description><link>https://nestfrontier.com/</link><item><title>One video diffusion model to handle 30 different tasks</title><link>https://nestfrontier.com/one-video-diffusion-model-to-handle-30-different-tasks/</link><guid isPermaLink="true">https://nestfrontier.com/one-video-diffusion-model-to-handle-30-different-tasks/</guid><description>UniVidX is a unified video diffusion framework from HKUST, Stanford, and Tsinghua, just published at SIGGRAPH 2026. It handles 30 different tasks — matting, normal estimation, relighting, inpainting — from a single pretrained backbone using stochastic condition masking and decoupled gated LoRAs. And it does this training on fewer than 1,000 videos per domain.</description><pubDate>Tue, 05 May 2026 02:36:46 GMT</pubDate></item></channel></rss>