Text-to-Image Synthesis with GANs

In this chapter, you will learn how to implement Generative Adversarial Text-to-image Synthesis, which is a model that generates plausible images from detailed text descriptions. You will learn about the matching-aware discriminator, manifold interpolation, and how to invert the generator for style transfer.

The following topics will be covered in this chapter:

• Text-to-image Synthesis
• Experimental setup
• Model implementation
• Improving the baseline model
• Inference