PointConv: Deep Convolutional Networks on 3D Point Clouds

Short summary

PointConv enables deep convolutional networks on irregular 3D point clouds by treating convolution kernels as learned nonlinear functions of local point coordinates, achieving state-of-the-art semantic segmentation on benchmarks like ModelNet40 and ShapeNet.

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