When reading and working with papers, at some point it is necessary to follow the bavarian saying "Finfe grod sei lossn",
which means literally letting 5 being an even number. At some point, one should follow a mentioned paper or theory and
at some point, just let it be stated and follow the rest of the argumentation.
Same counts when starting with the famous GAN paper from Goodfellow.
By investigating more into the field, one could go on with the interesting paper from
Photo-Ralistic Image Super-Resolution Using GAN or
Wasserstein.
In the next articles, those papers are highlighted in detail and at least tried to be approached.
[1] Generative Adversarial Networks - The original paper
[2] Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network - The original paper
[3] Wasserstein GAN - The original paper