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Toward Zero-Shot Point Cloud Registration Across Diverse Scales, Scenes, and Sensor Setups
Some deep learning-based point cloud registration methods struggle with zero-shot generalization, often requiring target-domain retraining, fine-tuning, or dataset-specific metric parameter tuning for new environments. We identify three critical limitations: (a) fixed user-defined parameters (e.g.,
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