Like any other GAN, SRGANs contain a generator network and a discriminator network. Both networks are deep. The functionality of both of these networks is specified as follows:
- The generator: The generator network takes a low-resolution image of a dimension of 64x64x3, and, after a series of convolution and upsampling layers, generates a super-resolution image of a shape of 256x256x3
- The discriminator: The discriminator network takes a high-resolution image and tries to identify whether the given image is real (from the real data samples) or fake (generated by the generator)
