This is a slight modification of Keras implementation of Image-to-Image Translation with Conditional Adversarial Networks by Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros. We modify our discriminator according to Wasserstein GAN and train it only for grayscale->color objective using http://floydhub.com services.
- keras 2.0, tensorflow 1.1.0 backend
- h5py
- matplotlib
- opencv 3
- numpy
- tqdm
- parmap
- graphviz
Follow these instructions.
Follow these instructions.
- The first column is the generator input
- The second column is the generator output
- The last column is the original image