This network uses a conditional generative adversarial network (cGAN) to learn mapping from the input and output of an image. Some of the examples that can be done from the original paper are as follows:

In the handbags example, the network learns how to color a black and white image. Here, the training dataset has the input image in black and white and the target image is the color version.