Deep learning techniques have been fairly successful in solving the problem of image and video super-resolution. In this project we will discuss the theory involved, various techniques used, loss functions, metrics, and relevant datasets. You can run the code for one of the models we'll cover, ESPCN for free on the ML Showcase.
There are many methods used to solve this task. We will cover the following:
The content of the article is available at https://blog.paperspace.com/image-super-resolution/
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