DualGAN Save

DualGAN-tensorflow: tensorflow implementation of DualGAN

Project README

ICCV paper of DualGAN

DualGAN: unsupervised dual learning for image-to-image translation

please cite the paper, if the codes has been used for your research.

architecture of DualGAN


How to setup


  • Linux

  • Python (2.7 or later)

  • numpy

  • scipy

  • NVIDIA GPU + CUDA 8.0 + CuDNN v5.1

  • TensorFlow 1.0 or later

Getting Started


  • clone this repo:
git clone https://github.com/duxingren14/DualGAN.git

cd DualGAN
  • download datasets (e.g., sketch-photo), run:
bash ./datasets/download_dataset.sh sketch-photo
  • download pre-trained model (e.g., sketch-photo), run:
bash ./checkpoint/download_ckpt.sh sketch-photo
  • train the model:
python main.py --phase train --dataset_name sketch-photo --image_size 256 --lambda_A 1000.0 --lambda_B 1000.0 --epoch 100
  • test the model:
python main.py --phase test --dataset_name sketch-photo --image_size 256 --lambda_A 1000.0 --lambda_B 1000.0 --epoch 100


Similarly, run experiments on facades dataset with the following commands:

bash ./datasets/download_dataset.sh facades

python main.py --phase train --dataset_name facades --lambda_A 1000.0 --lambda_B 1000.0 --epoch 100

python main.py --phase test --dataset_name facades --lambda_A 1000.0 --lambda_B 1000.0 --epoch 100

For thoese who cannot download datasets or pretrained models using the scripts, please try manual downloading from the link as below:

all datasets from google drive

pretrained models from google drive

Experimental results:



Codes are built on the top of pix2pix-tensorflow and DCGAN-tensorflow. Thanks for their precedent contributions!

Open Source Agenda is not affiliated with "DualGAN" Project. README Source: duxingren14/DualGAN