Model Implementation: Text-to-Image GAN Synthesis

Our discriminator and generator implementations are inspired by the authors’ torch implementation.

Let’s start by implementing the wrappers. We assume that the necessary imports are already in place.

Wrapper

We add a wrapper that combines a 2D convolution with batch normalization and an optional ReLU. This sequence of layers is very common in this model. In using this wrapper, the code becomes more compact and easier to read: