[astrosi]

Impressive stuff, I especially like the style transfer that can be done by using the global features of one image and the local features of another (Fig. 7)

What I find somewhat annoying is that whilst they show some examples from their validation set, and a couple of examples of the model failures. They don't appear to show a random selection of cases from their validation set.

[babo]

Why not trying it out yourself? They provide the model to download and torch code to run it on any photo. https://github.com/satoshiiizuka/siggraph2016_colorization

[argonaut]

The results that I see seem quite good, but I also find the lack of any objective benchmarks or performance measures to be one flaw in the paper. This might explain why they published in a graphics conference (SIGGRAPH) rather than an ML or computer vision conference (which would probably demand benchmarks).