LGR-Net: Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology

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This repository is a reference implementation for "Rotation invariant point cloud analysis: Where local geometry meets global topology". If you use this code in your research, please cite the paper.

@article{zhao2019rotation,
  title={Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology},
  author={Zhao, Chen and Yang, Jiaqi and Xiong, Xin and Zhu, Angfan and Cao, Zhiguo and Li, Xin},
  journal={arXiv preprint arXiv:1911.00195},
  year={2019}
}

Install

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The code of svd is borrowed from torch-batch-svd. Please installing it before runing the training code.

cd ./pt_utils/svd
python setup.py install

Train model on ModelNet40

cd ../../
python ./train_cls.py