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The University of Hong Kong
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MemLearner achieves unprecedented scene consistency in video generation by learning to query context memory, outperforming traditional methods in dynamic and occluded environments.
Accurately simulating multi-agent interactions with consistent multi-view video is now possible thanks to MultiWorld, a framework that scales to many agents and viewpoints.