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Abstract: Convolution on 3D point clouds is widely researched yet far from perfect in geometric deep learning. The traditional wisdom of convolution characterises feature correspondences ...
Abstract: Graph convolutional networks (GCNs) have become a powerful deep learning approach for graph-structured data. Different from traditional neural networks such as convolutional neural networks, ...
Point clouds are among the popular geometry representations for 3D vision applications. However, without regular structures like 2D images, processing and summarizing information over these unordered ...
Lots of stuff has been implemented (JSCAD and OpenSCAD output for 3D), and this README.md needs to be updated. The forum threads give information of current development. (Half-)sphere vertices, vertex ...