iPUNet

This is the official repository for the publication iPUNet: Iterative Cross Field Guided Point Cloud Upsampling.

If you should encounter any problems with the code, don't hesitate to contact me at guangshunwei@gmail.com.

Installation

git clone https://github.com/GSW-D/iPUNet.git
cd iPUNet-main
conda env create -f iPUNet.yml
conda activate iPUNet

Dependencies

• [chamfer_distance]
• [KNN]
• [PointNet2] custom ops must be built by running python setup.py install under pointnet2_utils/custom_ops folder.

Download

Dataset can be downloaded from Google Drive.

Training

python train.py

Testing

python test.py

Citation

@article{wei2023ipunet,
  title={iPUNet: Iterative Cross Field Guided Point Cloud Upsampling},
  author={Wei, Guangshun and Pan, Hao and Zhuang, Shaojie and Zhou, Yuanfeng and Li, Changjian},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2023},
  publisher={IEEE}
}