Advanced Deep Learning with Keras

Cross-Domain GANs
Since CycleGAN is symmetric, it also predicts the grayscale image given a color
image. Figure 7.1.10 shows the color to grayscale conversion performed by the two
CycleGAN variations. The target images are from the test dataset. Except for minor
differences in the grayscale shades of some images, the predictions are generally
accurate:
Figure 7.1.9: Colorization using different techniques. Shown are the ground truth, colorization using
autoencoder (Chapter 3, Autoencoders,), colorization using CycleGAN with a vanilla GAN discriminator,
and colorization using CycleGAN with PatchGAN discriminator. Best viewed in color. Original color photo
can be found on the book GitHub repository, https://github.com/PacktPublishing/Advanced-Deep-Learningwith-Keras/blob/master/chapter7-cross-domain-gan/README.md.
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