Image restoration using CNN "prior"

I just finished the section on super-resolution in lesson 7 of the v3 course.
The network didn’t perform very well when I ran some random low-resolution images that I found online.
Of course, I might need to train with a different dataset to handle different types of corruption, as Jeremy states in the lecture.

But searching for more information on image restoration, I came across this blog post: How To Perform Image Restoration Absolutely DataSet Free( and this paper Deep Image Prior( Both are from 2018 and I can’t find anything more recent.

Does anyone know if this technique is still being used? Or has it been superseded by the UNet-based approach described in lesson 7?


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