Paper Trains Object Permanence in World Models
Occlusion breaks scene consistency in generated video and embodied simulations, and object permanence offers a cognitive-science-grounded fix. Researchers working on world models, video generation or embodied agents can use the method to reduce object flicker and disappearance during occlusion. Compared with purely data-driven fixes, this frames the problem as a learnable cognitive capacity.
