if we just use the bicubic interpolation method just a hand designed mathematical formula for what the pixels ought to be based on sampling Theory we get a relatively blurry image that's shown second from the left the remaining two images show different ways of using machine learning to actually learn to create high resolution images that look like the data distribution so here the model is actually able to use its knowledge of what high resolution images look like to provide details that have been lost in the down sampling process