That demo was quite impressive, but the technique is completely different. Adobe uses deconvolution to recover information and details that are actually in the picture, but not visible (unintuitively blurring is a mathematically reversible transformation. If you know the characteristics of the blur, then you can reverse it. In fact most of Adobe demo's magic comes from knowing the blur kernel and path in advance, not sure how it works in practice for real photos). But the Neural net demoed in this post just "makes up" the missing info using examples from photos it learned from, there is no information recovery.