How can you implement a Pix2Pix GAN in PyTorch for image-to-image translation

Question

Can you tell me how you can implement a Pix2Pix GAN in PyTorch for image-to-image translation?

Answer 1

Pix2Pix is a conditional GAN for image-to-image translation. You can refer to the following steps for the implementation:

• Define the Generator and Discriminator
  • The generator is a U-Net, and the discriminator is a PatchGAN.
• Training Loop
  • Train using the adversarial and L1 loss.
• Inference
  • Generate images after training.

Here is the code snippets showing the above steps:

Hence, this is a simplified Pix2Pix implementation. You can expand it with data loading, checkpointing, and advanced training techniques.