Generative Adversarial Networks Projects

Practical applications of GANs

GANs have some fairly useful practical applications, which include the following:

• Image generation: Generative networks can be used to generate realistic images after being trained on sample images. For example, if we want to generate new images of dogs, we can train a GAN on thousands of samples of images of dogs. Once the training has finished, the generator network will be able to generate new images that are different from the images in the training set. Image generation is used in marketing, logo generation, entertainment, social media, and so on. In the next chapter, we will be generating faces of anime characters.
• Text-to-image synthesis: Generating images from text descriptions is an interesting use ...