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TADreamer is presented, a zero-shot framework that grounds video-imagined navigation in measured geometry without task-specific training or fine-tuning, and reduces mean absolute depth error and mean absolute relative depth error compared with NavDreamer.
Prior maps, even when flawed, can significantly boost UAV exploration efficiency, achieving over 34% better performance in complex environments.