This course teaches single image super-resolution using SRGAN, focusing on understanding the concept by walking through the original publication. The key topics covered include the super resolution paper, perceptual loss, content loss, generator network, output, and discriminator. The intended audience for this 29-minute course is individuals interested in image processing and deep learning techniques.
Overview
Syllabus
Introduction
Super resolution
Paper
Key details
Perceptual loss
Content loss
Generator network
Output
Discriminator
Taught by
DigitalSreeni
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