[hinkley]

That's still interpolating, by the definitions I know.

The main difference here is that the interpolation algorithm on your TV is online. It's handling 30 frames per second, over 9 million pixels per second. Doing the interpolation offline (ahead of time), you can take as long as you want, look at multiple frames to try to make better guesses, try multiple things and use some fitness measure to pick a winner, even a frame or a pixel at a time.

It's still interpolation.

[pbhjpbhj]

No, if I interpolate a sequence 200, 400, 600, ... I might get 200, 300, 400, 500, 600, 700. I've not added info. If I look at real world situations and find that whilst the figures fall at the even hundreds it's more realistic that they fall in a range from 20 to 30 points below the hundred on odd-hundreds. Then I have added information, albeit statistically, and the resulting sequence like 200, 287, 400, 475, 600, 672 is no longer raw interpolation.

In this case they're using machine learning to add additional information about textures that isn't in the footage broadcast. They can add frames by interpolation, but the ML texturising and detailing is not interpolation.

Starting with a blob, if you interpolate you get a smoother blob, with this process you get a more structured figure.

[roywiggins]

It's more like hallucination than anything. You're just forward-projecting your assumptions on what things ought to look like and hallucinating detail that just isn't there.

It can still look nicer than naive upscaling though.

[avisser]

I see what you're getting at, but it still seems within the definition of interpolation. From wikipedia

> ... interpolation is a method of constructing new data points within the range of a discrete set of known data points