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Gacnet
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82
Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'
Grid Gcn
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52
Grid-GCN for Fast and Scalable Point Cloud Learning
Cga Net
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11
[CVPR 2021] CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation
Morton Net
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9
PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.
Point Planenet
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7
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis
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