"Conditional Generative Adversarial Networks for Domain Transfer: A Sur" by Guoqiang Zhou, Yi Fan et al.
Generative Adversarial Network (GAN), deemed as a powerful deep-learning-based silver bullet for intelligent data generation, has been widely used in multi-disciplines. Furthermore, conditional GAN (CGAN) introduces artificial control information on the basis of GAN, which is more practical for many specific fields, though it is mostly used in domain transfer. Researchers have proposed numerous methods to tackle diverse tasks by employing CGAN. It is now a timely and also critical point to revie...
Generative Adversarial Network Adversarial Network Conditional Generative Adversarial Network Ycle Consistency Domain Transfer Loss Function
Source: uow.edu.au