Explore image-to-image translation using Pix2Pix GAN in this comprehensive video tutorial. Delve into the original publication, understanding key concepts such as the PatchGAN discriminator and its implementation. Learn about the generator architecture (U-Net) and discriminator architecture (PatchGAN), with a focus on the 70×70 PatchGAN's classification of image patches. Download accompanying code from the provided GitHub repository and prepare for upcoming tutorials on satellite image translation and generating realistic scientific images.
Overview
Syllabus
Image to image translation (Pix2Pix) A review of the original paper and Understanding the key concepts
Walkthrough - Key details from the original paper
Generator architecture (U-Net)
Discriminator architecture (PatchGAN)
Next Tutorial: Satellite images to maps
Following Tutorial: Generating realistic- looking scientific images
Taught by
DigitalSreeni
