Fig. 2

Network architecture. In the architecture, the extracted human facial parts are input into the generator to generate a fake face. The discriminator is used to discriminate between real and generated faces. Reconstruction loss and perceptual loss are obtained by comparing generated faces and real faces. The reconstruction loss part is shown in green and is used to train the generator. The perceptual loss part is represented in dark blue, and its calculation uses a pretrained VGG19 network. Finally, the orange part represents the adversarial loss used to train the generator and discriminator