The two neural networks that make up a GAN are referred to as the generator and the discriminator. Depending on their use, one of these is typically implemented as a convolutional neural network ...

As training progresses, the generator improves at generating realistic distributions, and the discriminator at identifying the generated data as fake. GANs use a loss ... our PMF-GAN model refines ...