pointnet2 and pointnet
PointNet++ is the successor architecture that builds upon PointNet by introducing hierarchical feature learning through nested partitioning, making them successive generations of the same research lineage rather than true competitors or complements.
About pointnet2
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.
About pointnet
nikitakaraevv/pointnet
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
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