A proposed two-step GAN compression for anomaly detection. The performance of distillated student GAN can exceed teacher GAN. If possible, you can try it on the task of image synthesis. [P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection](https://arxiv.org/pdf/2007.06963.pdf), 2020 IJCAI