Recommendation

• Our GAN based work for facial attribute editing - https://github.com/LynnHo/AttGAN-Tensorflow.

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New

• 2018.04.13: We modify the codes: use the newest tensorflow 1.7 API, and remove the redundancies.

• 2017.12.22: We add a simple PyTorch implementation, see the "pytorch" folder.

CycleGAN

Tensorflow implementation of CycleGAN.

Paper: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Author: Jun-Yan Zhu et al.

Exemplar results on testset

• gif: horse -> zebra
• row 1: horse -> zebra -> reconstructed horse, row 2: zebra -> horse -> reconstructed zebra
• row 1: apple -> orange -> reconstructed apple, row 2: orange -> apple -> reconstructed orange

Prerequisites

• tensorflow r1.7
• python 2.7

Usage

cd CycleGAN-Tensorflow-PyTorch-master

Download Datasets

• Download the horse2zebra dataset:

sh ./download_dataset.sh horse2zebra

• Download the apple2orange dataset:

sh ./download_dataset.sh apple2orange

• See download_dataset.sh for more datasets

Train Example

CUDA_VISIBLE_DEVICES=0 python train.py --dataset=horse2zebra

Test Example

CUDA_VISIBLE_DEVICES=0 python test.py --dataset=horse2zebra