Overview: Text-to-Image Synthesis with GANs
Get an overview of the topics covered in this chapter.
We'll cover the following
In this chapter, we will learn how to implement generative adversarial text-to-image synthesis, which is a model that generates plausible images from detailed text descriptions. We will learn about the matching-aware discriminator, manifold interpolation, and how to invert the generator for style transfer.
Topics covered in this chapter
The following topics will be covered in this chapter:
Text-to-image synthesis
Experimental setup
Model implementation
Improving the baseline model
Inference
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