V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning

作者：Lorenzo Mur-Labadia, Matthew Muckley, Amir Bar, Mido Assran, Koustuv Sinha, Mike Rabbat, Yann LeCun, Nicolas Ballas, Adrien Bardes · 单位：FAIR at Meta, Work done at Meta, semantically coherent features where similar objects map to the same PCA components · 来源：General Approaches to World Models · 发布日期：2026-03-15 · 分类：1. Foundation World Models / SOTA Models / Interactive Video Generation