An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator

Cuong V. Nguyen, Tien-Dung Cao, Tram Truong-Huu +2

Generative Adversarial Networks (GANs) have emerged as useful generative models, which are capable of implicitly learning data distributions of arbitrarily complex dimensions. Howe…