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Bridging the gap in multi-camera depth prediction, SurroundNEXO achieves a 33.2% reduction in single-view error by rethinking how we leverage ego-centric geometry.
LiDAR's metric accuracy can be effectively transferred to multi-view stereo depth estimation, yielding state-of-the-art performance in autonomous driving scenarios with improved temporal stability and cross-domain transfer.
