How can you use Keras to train a StackGAN model for high-resolution image generation

Question

With the help of code, can you explain how you can use Keras to train a StackGAN model for high-resolution image generation?

Answer 1

To train a StackGAN model in Keras for high-resolution image generation, you can use a two-stage architecture where Stage-I generates coarse images, and Stage-II refines them for higher resolution.

Here is the code example you can refer to:

In the code, we are using the following:

• Stage-I Generator: Creates low-resolution (e.g., 32x32) images from a latent vector.
• Stage-II Generator: Refines Stage-I images into higher resolution (e.g., 64x64) images.
• Training: Optimize both stages iteratively with separate loss functions for each output resolution.

Hence, you can use Keras to train a StackGAN model for high-resolution image generation.