Figure 1. The overall workflow of multiscale digital rock data
fusion based on deep generative adversarial networks:
GHR is the generator of StyleGAN2 that takes the style
latent vector and random noise as input to simulate SEM images;
DHR is the discriminator of StyleGAN2 that aims to
distinguish between real SEM samples and fake samples generated by
GHR;
GL2Hand GH2L are two generators of CycleGAN that predicts
high-resolution image from low-resolution micro-CT data and recovers
low-resolution data from high-resolution data, respectively;
DL and DH are two discriminators
corresponding to GL2H and GH2L,
respectively.