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Peking University
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Transferring camera motion across vastly different scales can now be done with over 3x improvement in accuracy without sacrificing visual quality.
DRIVE-CHOREO achieves unprecedented multi-view consistency and BEV mAP by choreographing latent tokens across diverse modalities in autonomous driving.
Fine-grained quality degradations can now be assessed without sacrificing semantic coherence, thanks to a novel two-stream architecture that redefines vision-language alignment.
