DC-MMD-GAN: A New Maximum Mean Discrepancy Generative Adversarial Network Using Divide and Conquer
Generative adversarial networks (GANs) have a revolutionary influence on sample generation.Maximum mean discrepancy GANs (MMD-GANs) own competitive performance when compared with other GANs.However, the loss function of MMD-GANs is an empirical estimate of maximum mean discrepancy (MMD) and not precise in measuring the distance between sample distr