Generating Realistic Biological Electron Microscopy Images using a GAN with Skip Patch Discriminator

A new GAN architecture with a skip patch discriminator is proposed to generate realistic biological electron microscopy images, which outperforms the standard patch discriminator in capturing both global and local structures.