GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint

Understand

We know SGAN may have a risk of gradient vanishing.

• A significant improvement is WGAN, with the help of 1-Lipschitz constraint on discriminator to prevent from gradient vanishing.
• Is there any GAN having no gradient vanishing and no 1-Lipschitz constraint on discriminator? We do find one, called GAN-QP.
• To construct a new framework of Generative Adversarial Network (GAN) usually includes three steps: 1.