charlesq34/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Implements hierarchical set abstraction layers with multi-scale grouping to capture local geometric structures at increasing receptive fields, addressing non-uniform point cloud densities through adaptive aggregation. Built on TensorFlow with custom CUDA operators for efficient set operations, supporting classification, part segmentation, and semantic scene parsing tasks on ModelNet40, ShapeNet, and ScanNet datasets.
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Aug 26, 2022
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