CS249 course project Group 1
Presentation Slides:
Overleaf Report:
Please follow the instruction in each sub-directory to download data/models and run experiments.
- 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]