The Keras implementation of StackGAN is divided into two parts: Stage-I and Stage-II. We will implement these stages in the following sections.
A Keras implementation of StackGAN
Stage-I
A Stage-I StackGAN contains both a generator network and a discriminator network. It also has a text encoder network and a Conditional Augmentation network (CA network), which are explained in detail in the following section. The generator network gets the text conditioning variable (
), along with a noise vector (x). After a set of upsampling layers, it produces a low-resolution image with dimensions of 64x64x3. The discriminator network takes this low-resolution image and tries to identify whether the image is real or fake. The generator...
