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Decoupling ego-motion from camera-rig geometry leads to unprecedented accuracy in pose estimation and depth prediction for autonomous driving systems.
Pre-trained video diffusion models can be deterministically adapted into state-of-the-art zero-shot depth estimators, sidestepping the need for massive labeled datasets.
