Key Points:
- Style-based generative adversarial network (GAN) is effective for
augmenting sparse high-resolution SEM images.
- Cycle-consistent GAN is successfully applied to integrate unpaired
multi-resolution digital rock images.
- The method shows promise in the reconstruction of high-resolution
digital rocks that accurately capture micro-structures at
multi-scales.