yara-ys/3D-point-clouds-Edge-Detection-Using-KPConv

This project implements a Kernel Point Convolution pipeline for edge detection in 3D point clouds, developed as part of the ABC Challenge. It aims to automatically identify edge points in 3D models of manufactured objects by combining geometric features (coordinates, normals, and multi-scale descriptors) within a U-Net–style KPConv architecture.

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point-cloud-processing

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Oct 06, 2025

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Point Cloud Processing · 46 tools

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