Generative Adversarial, Computer Vision, Gan, Machine Learning, Computer Science.
(SNGAN) is a variant of Generative Adversarial Networks (GANs) that aims to stabilize the training process and improve the quality of generated images. The main idea behind SNGAN is to normalize the weights of the discriminator network by their spectral norm, which is the largest singular value of