torch-points3d and pointnet
torch-points3d is a comprehensive framework that builds upon foundational architectures like PointNet, making B a core component that A extends rather than a competitor to it.
About torch-points3d
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.
Provides modular implementations of 13+ state-of-the-art architectures (PointNet++, KPConv, MinkowskiEngine, etc.) organized by task—classification, segmentation, registration, detection, and panoptic analysis. Leverages PyTorch Geometric for graph operations and Hydra for configuration-driven training, enabling reproducible experiments across benchmark datasets with minimal boilerplate. Includes sparse convolution backends and a high-level API for rapid prototyping of complex point cloud models.
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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