Introduction to Super Resolution
Published:
Originally (intended to be) published as a series on Medium. Check out the articles here
Super Resolution explained — Ep1
This article gives a quick introduction to Single Image Super Resolution from the lens of a Machine Learning task and defines the goals, metrics and datasets used for the tasks. Find the full article here
Super Resolution explained — Ep2
This article dives deeper into one of the most foundational neural architectures used for this task, called SRCNN (Super Resolution Convolutional Neural Network) and describes the paper in a quick 5-minute summary. Check out the full post on Medium and the supplementary code on Github
Super Resolution explained — Ep3
To appear soon(ish); will talk about SRGAN, which introduced Generative Adversarial Networks to the task of Superresolution.