A research team at UC Berkeley has now developed an artificial intelligence algorithm that can convert paintings into photographs and much more. Using ‘image style transfer’ their AI can convert Monet’s impressionist paintings into a much more realistic image that comes close to photo quality. In addition to this it is capable of changing winter to summer in an image of a Yosemite scene, turn apples into oranges and horses into zebras. And it’s also possible to transform regular photos into Monets, Van Goghs or Cezannes.
The research uses so-called 'unpaired data' which, in the words of the project team means that ‘we have knowledge of the set of Monet paintings and of the set of landscape photographs. We can reason about the stylistic differences between those two sets, and thereby imagine what a scene might look like if we were to translate it from one set into another'.
To know more visit : junyanz.github.io/CycleGAN/Share / Add Comment