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WorldScape Policy 2.0 achieves unprecedented long-horizon autonomous planning by integrating reasoning-augmented memory with multimodal instruction processing.
AniGS transforms static 3D reconstructions into dynamic, immersive environments by seamlessly integrating ambient motion without compromising structural fidelity.
Current world models struggle with basic physical interaction tasks like distance perception and trajectory following, highlighting a critical gap in their ability to simulate realistic environments.
World models are more valuable for synthesizing structured supervision for navigation learning than for directly providing action-ready imagined evidence.
