Image Scaling Using Deep Convolutional Neural Networks

I wonder how this approach compare to upscaling via IFS (i.e. "fractal compression"-like techniques). Although the underlying modelling is very different, the fundamental idea seems very similar - learn vectors from the image, apply (possibly a mixture of) them at a different scale. The results certainly look superficially similar.