Generative Adversarial, Computer Vision, Gan, Machine Learning, Computer Science.
only Wasserstein distance. Additionally, the gradient penalty term can be interpreted as a form of implicit regularization, which can help to improve the generalization of the model. GPGANs have been used to generate high-quality images, and have been shown to be more stable and effective than