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Training-time Gaussian distillation can boost WAM performance by over 19%, transforming how we integrate geometry and semantics in robotic manipulation.
Traffic element awareness can dramatically elevate the performance of autonomous driving systems, achieving state-of-the-art results with minimal architectural changes.
Blurry structures and temporal flicker in driving scene rendering can be effectively mitigated using a unified framework that leverages spatial and temporal cues across datasets.
