This repo is implementation for 3D point cloud architectures in pytorch.

Architectures Implemented

1. Pointnet
2. Pointnet2
3. PointCNN
4. RS-CNN

References

[1] Pointnet_Pointnet2_pytorch
[2] pointnet.pytorch
[3] PointCNN
[4] RS-CNN

Point Cloud Papers

• [2017 CVPR] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Paper Original PyTorch
• [2017 NIPS] PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space Paper Original PyTorch
• [2018 NIPS] PointCNN：Convolution On X-Transformed Points Paper Code
• [2019 CVPR] DGCNN: Dynamic Graph CNN for Learning on Point Clouds Paper Code
• [2019 CVPR] PointConv：Deep Convolutional Networks on 3D Point Clouds Paper Code1 Code2
• [2019 CVPR] PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing Paper Code
• [2019 CVPR] Relation-Shape Convolutional Neural Network for Point Cloud Analysis Paper Code
• [2019 ICCV] KPConv: Flexible and Deformable Convolution for Point Clouds Paper Original PyTorch
• [2019 NIPS] Point-Voxel CNN for Efficient 3D Deep Learning Paper Code
• [2020 CVM] Point Cloud Transformer Paper Code
• [2021 ICCV] Point Transformer Paper Code

License

This repo is licensed under the MIT License. See LICENSE for details.