To claim that those techniques are even in the same ballpark as deep learning based style transfer is just silly. They are extremely limited in their application, as you can clearly see by looking at the examples. And the entire approaches are overfit to the particular applications that they show, so they can't be readily extended.

These are actually excellent examples of how deep learning has totally changed our expectations of what can be done with computer vision by using deep learning.