首个专为机器人操作评估世界模型物理一致性的基准，填补视觉真实与可执行性之间的鸿沟。
arXiv:2604.19092v2 Announce Type: replace-cross Abstract: Recent advances in large-scale video world models have enabled increasingly realistic future…
DiLA将潜在动作解耦为几何与纹理流，实现高保真视频预测，突破LAMs的抽象-保真权衡。
arXiv:2605.15725v1 Announce Type: cross Abstract: Latent Action Models (LAMs) enable the learning of world models from unlabeled video by inferring ab…
首次系统评估自监督视频模型作为世界模型，揭示潜在视频预测能学习更优的世界模型。
arXiv:2605.15618v1 Announce Type: cross Abstract: Self-supervised video models are increasingly framed as world models, yet their evaluation remains l…