i call bs on this, like saying you can add quality back to a compressed audio file. nonsense, so how does it magically do that then? please explain in detail because id love to here it.
While the actual implementation is a bit more rudimentary currently DLSS uses a model trained against the "style" of a game - it then analyses the low resolution output for patterns which it can use the closest reference matches for to fill in the blanks using something that mimics the style of the missing data. With enough training the model produces something close enough most people won't notice.
For audio that is even harder to do because most people would tell much easier that there is nonsense noise filling in the blanks, with images it is a bit easier to fool the eyes.