Tensorflow implement of "Eye In-Painting with Exemplar Generative Adversarial Networks"
The tensorflow implement of Eye In-Painting with Exemplar Generative Adversarial Networks
Because the origin paper does't provide the details of model, this implement uses the architecture and hyperparamters from SG-GAN(Using adapted residual image learning for G and spectral norm for D)
Just use refernece image as the exemplar, not code.
Our model trained using 256x256 pixels, not 128x128 mentioned in the original paper.
git clone https://github.com/zhangqianhui/Exemplar_GAN_Eye_Inpainting.git
You can download CelebA-ID Benchmark dataset according to the Dataset
and unzip CelebA-ID into a directory.
python main.py --OPER_FLAG=0 --path your_path
python main.py --OPER_FLAG=1 --path your_path --test_step= your model_name