README.md

Survey of GNN on 3D Point Cloud Segmentation

CS249 course project Group 1

Links

Presentation Slides:

• Google Slides Link
• CS249_Group1_Presentation.pdf

Overleaf Report:

• Overleaf Link
• CS249_Group1_Report.pdf

Experiments

Please follow the instruction in each sub-directory to download data/models and run experiments.

Paper List

• PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation [paper]
• PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space [paper]
• Dynamic Graph CNN for Learning on Point Clouds [paper]
• RGCNN: Regularized Graph CNN for Point Cloud Segmentation paper]
• Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features [paper]
• DeepGCNs: Can GCNs Go as Deep as CNNs? [paper]
• Graph Attention Convolution for Point Cloud Semantic Segmentation [paper]
• Hierarchical Depthwise Graph Convolutional Neural Network for 3D Semantic Segmentation of Point Clouds [paper]
• Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation [paper]
• RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds [paper]