Explore the concept of Single Image Super-Resolution using SRGAN in this informative 29-minute video. Gain a comprehensive understanding by walking through the original publication, examining key details, perceptual loss, content loss, generator network, output, and discriminator. Delve into the intricacies of super resolution techniques and their applications in image processing.
Overview
Syllabus
Introduction
Super resolution
Paper
Key details
Perceptual loss
Content loss
Generator network
Output
Discriminator
Taught by
DigitalSreeni
Related Courses
-
Advanced Generative Adversarial Networks (GANs)
-
Image to Image Translation Using Pix2Pix GAN
-
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
-
Unpaired Image to Image Translation Using CycleGAN - An Introduction
-
Generative Adversarial Minority Oversampling
-
What Are CycleGANs? - A Novel Deep Learning Tool in Pathology
