Awesome World Models / arXiv

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

作者：作者信息待提取 · 单位：Bojanowski1, Vasil Khalidov1, Patrick Labatut1, Francisco Massa1, Marc Szafraniec1, Kapil, FAIR at Meta, Mila – Quebec AI Institute and Polytechnique Montréal · 来源：General Approaches to World Models · 发布日期：2025 · 分类：1. Foundation World Models / SOTA Models / Interactive Video Generation

基础世界模型基于模型的强化学习评测/基准视频生成
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V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning figure
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