YoVDO

Single Image Super Resolution Using SRGAN

Offered By: DigitalSreeni via YouTube

Tags

Generative Adversarial Networks (GAN) Courses Deep Learning Courses Image Processing Courses Super-Resolution Courses

Course Description

Overview

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.

Syllabus

Introduction
Super resolution
Paper
Key details
Perceptual loss
Content loss
Generator network
Output
Discriminator


Taught by

DigitalSreeni

Related Courses

Sparse Representations in Image Processing: From Theory to Practice
Technion - Israel Institute of Technology via edX
Cutting Edge Deep Learning for Coders
Jeremy Howard via YouTube
Efficient Geometry-Aware 3D Generative Adversarial Networks - GAN Paper Explained
Aleksa Gordić - The AI Epiphany via YouTube
Beyond Text - Giving Stable Diffusion New Abilities
HuggingFace via YouTube
New Approaches to Image and Video Reconstruction Using Deep Learning
Meta via YouTube