GPI-Net improves 3D point cloud registration by using orthogonal integration, self/cross attention, and multi-granularity feature mixing to better classify correspondences as inliers or outliers.
Unsupervised Segmen- tation of Point Clouds From Buildings Using Hierarchi- cal Clustering Based on Gestalt Principles
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GPI-Net: Gestalt-Guided Parallel Interaction Network via Orthogonal Geometric Consistency for Robust Point Cloud Registration
GPI-Net improves 3D point cloud registration by using orthogonal integration, self/cross attention, and multi-granularity feature mixing to better classify correspondences as inliers or outliers.