Use of GANs for deepfakes and deepfake detection

In this section, we will explore how GANs have contributed to deepfakes and deepfake detection, starting from the basic capability of creating a fake image before moving on to how they can be used to change an existing image to a different one.

Using StyleGAN to generate convincing fake images

The evolution of NVIDIA’s StyleGAN series showcases significant advancements in GAN technology. The original StyleGAN introduced a unique architecture that provided control over image features at various scales but faced issues such as unwanted image artifacts. StyleGAN2 addressed these issues by revising the generator architecture, improving normalization, and introducing new regularization methods, leading to more realistic images and stable training.

StyleGAN2-ada further enhanced the model’s performance with adaptive discriminator augmentation. This technique dynamically adjusts the amount and type of data augmentation...