Hands-On Deep Learning Algorithms with Python

Conditioning augmentation

We have a text description as an input to the GAN. Based on these descriptions, it has to generate the images. But how do they understand the meaning of the text to generate a picture?

First, we convert the text into an embedding using an encoder. We represent this text embedding by . Can we create variations of ? By creating variations of text embeddings, , we can have additional training pairs, and we can also increase ...