Generative Adversarial, Computer Vision, Gan, Machine Learning, Computer Science.
proposed a new approach to enforce the Lipschitz constraint of the discriminator network, by adding a gradient penalty term to the objective function. This method can be used with any objective function, and has been shown to be more stable and effective than traditional GANs and WGANs. This work