Other GAN applications

In this chapter, we mainly focused on generating examples using GANs and looked at a few tricks and techniques to improve the quality of synthesized outputs. The applications of GANs are expanding rapidly, including in computer vision, machine learning, and even other domains of science and engineering. A nice list of different GAN models and application areas can be found at https://github.com/hindupuravinash/the-gan-zoo.

It is worth mentioning that we covered GANs in an unsupervised fashion, that is, no class label information was used in the models that were covered in this chapter. However, the GAN approach can be generalized to semi-supervised and supervised tasks, as well. For example, the conditional GAN (cGAN) proposed by Mehdi Mirza and Simon Osindero in the paper Conditional Generative Adversarial Nets (https://arxiv.org/pdf/1411.1784.pdf) uses the class label information and learns to synthesize new images conditioned on the provided label, that...