NEURAL NETWORK TRAINING METHOD AND APPARATUS AND IMAGE GENERATION METHOD AND APPARATUS

摘要

A neural network training method and apparatus and an image generation method and apparatus. The method comprises: inputting a first random vector into a generation network to obtain a first generated image (S11); separately inputting the first generated image and a first real image into a discrimination network, to obtain a first discrimination distribution of the first generated image and a second discrimination distribution of the first real image respectively (S12); determining a first network loss of the discrimination network according to the first discrimination distribution, the second discrimination distribution, a preset first target distribution, and a preset second target distribution (S13); determining a second network loss of the generation network according to the first discrimination distribution and the second discrimination distribution (S14); and adversarially training the generation network and the discrimination network according to the first network loss and the second network loss (S15).