@article{ren2021csgstump,
  title={CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing},
  author={Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Haiyong Jiang, Zhongang Cai, Junzhe Zhang, Liang Pan, Mingyuan Zhang, Haiyu Zhao, Shuai Yi},
  journal={ICCV},
  year={2021}
}

conda create --name CSGStumpNet python=3.7
conda activate CSGStumpNet
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=10.1 -c pytorch
conda install -c open3d-admin open3d=0.9
conda install numpy
conda install pymcubes
conda install tensorboard
conda install scipy
pip install tqdm

mkdir data
cd data
wget https://s3.eu-central-1.amazonaws.com/avg-projects/occupancy_networks/data/dataset_small_v1.1.zip
unzip dataset_small_v1.1.zip

python eval.py --config_path ./configs/plane_256_256.json

python train.py --config_path ./configs/plane_256_256.json

python metrics.py --config_path ./configs/plane_256_256.json