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It is found that, despite performing poorly in zero-shot matching, especially in later layers, feed-forward reconstruction models provide strong representations for linear probing and full matching pipelines, and their raw predictions alone enable competitive matching, albeit only under moderate viewpoint changes and modality gaps.
VoroTracing achieves 623 FPS with ray-based rendering, outperforming prior methods while elegantly handling complex visual effects like motion blur and depth of field.
BATS achieves a remarkable 53% reduction in GPU memory usage while maintaining competitive segmentation accuracy, revolutionizing resource-efficient volumetric segmentation.
