Apple previously released a paper titled Learning from Simulated and Unsupervised Images through Adversarial Training (https://arxiv.org/pdf/1612.07828.pdf), in which authors coined the architecture type SimGAN. As set out in the paper, SimGAN allows users to refine simulated data to make it look more realistic. In this section, we'll discuss how SimGAN architecture works.
How SimGAN architecture works
Getting ready
The only thing you'll need in this section is the paper previously mentioned, which can be downloaded and read at: https://arxiv.org/pdf/1612.07828.pdf titled Learning from Simulated and Unsupervised Images through Adversarial Training.
