Our baseline is from SP-GAN: https://github.com/liruihui/sp-gan Most of our code is based on it. Chamfer3D is from https://github.com/ThibaultGROUEIX/ChamferDistancePytorch.git Since we do not need other dimension's loss, we just brought Chamfer 3D. To use this library, move to "./metrics/Chamfer3D" and type $ python setup.py install Conda environment is in environments.yaml file. To prepare dataset, you can download them from https://drive.google.com/file/d/1q8UqOBS00hkhP_cdjHqT3GNwzN5P1qZy/view?usp=sharing Please download it and unzip on the main folder. To run training, please type $ bash training_prompt.sh To run test, please type $ bash testdgm.py