Generative Adversarial Networks (GANs) have been widely-used in image translation, but their high computational and storage costs impede the deployment on mobile devices. Prevalent methods for CNN compression cannot be directly applied to GANs due specificity of GAN tasks unstable adversarial training. To solve these, this paper, we introduce a novel method, termed DMAD, by proposing Differenti...