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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 applicatio
by jph00 9y ago
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.
- projectorlochsa 9y agoDeep learning based style transfer that got viral a year or two ago was worse than this 2008 result, especially worse for that hone application to portraits. The hype was nowhere near just because there's no deepness. I admit that https://arxiv.org/abs/1705.01088 https://arxiv.org/abs/1705.01088 this beats everything and is extremely powerful and simple but the hype for deep things seems a bit too strong.