I studied your article a long time ago, but I still have one important question.

Suppose that the model is trained on an image and video dataset of almost any resolution and content. Does this fact make it a universal upscaler?

I also wonder how it recovers even information that is completely lost in downscaling, yet the autocoder is able to recover even "Readable and Reliable" text. So, I can apply your autocoder to any low resolution image, as long as there are similar images in the dataset, recover almost 100% of the original high resolution image with valid information? 
If so, that's awesome! But I would like to see your answer, this question has been plaguing me for a long time. ever since I studied your article.

I would be very grateful if you could answer this question!
Thank you very much.

Make my text more proffesional, grammatically accurate, preserving the structure of the original text
