Tensorflow implementation of StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
- Python 3.6
- Tensorflow 1.6
The images are generated by StarGAN trained on the CelebA dataset.
$ git clone https://github.com/ioanachelu/StarGAN.git
$ cd StarGAN/
.data
celebA
list_attr_celebs.txt
$ python train.py --train=True --logdir=./logdir --config=default --dataset_path=../data
$ python train.py --train=True --resume=True --load_from=./logdir/0-default --config=default --dataset_path=../data
$ python run_wild.py --logdir=./logdir --config=default --load_from=./logdir/0-default --dataset_type=test