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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.
Single-view RGB input can revolutionize how robots perceive and manipulate transparent objects, achieving reliable grasping without complex depth sensing.
