Research on Knowledge Distillation of Generative Adversarial Networks

The compression of Generative Adversarial Networks (GANs) has been an emerging study in recent years. However, conventional compression methods can hardly be applied to GANs due to the training process and optimization target of GANs are different from the traditional classification detection network. Inspired by the recent success of knowledge distillation, we condense the recent researches on th...