Neural style transfer was developed in 2015 by Leon Gatys ... by training such a network to recognize artistic style; for example, to distinguish a Van Gogh from a Picasso.

In another example it transforms a daylight city shot into a much more interesting nighttime scene. The researchers built on the "Neural Style Transfer" work done by European researchers.

Ever since we first saw the nightmarish artwork produced by Google DeepDream and the ridiculous faux paintings produced from neural style transfer, we’ve been aware of the ways machine learning ...

Now a group of researchers from Cornell University and Adobe have layered neural nets atop an image style transfer AI ... swap the textures of apples, for example, and to change the weather ...

The artificial neural networks behind ... From there, it can transfer the style from the original artwork into a new image based on the analysis. An example of this is DeepArt.io, a company ...

Their study includes an example of a photo rendered in "Hayao ... The approach combines neural style transfer and generative adversarial networks (GANs) to achieve fast and high-quality results ...

The team used existing neural networks to transfer the style of this painting onto a ... Stewart’s paper is brilliant example of how that works, and what can be achieved. A weekly newsletter ...

Facebook AI Research (FAIR) scientists yesterday unveiled a neural network capable ... like the same song played on a piano in the style of Beethoven, for example. FAIR becomes the first AI ...

For example, Fletcher often writes ye instead ... using a technique known as neural style transfer. Overnight, it became possible to give an ordinary photograph the style of a Van Gogh or a ...