Neural Style Transfer (NST) is an optimization technique used to take two images: a content image and a style reference image and blend them together so the output image looks like the content image, but painted in the style of the style reference image.
Here, a pretrained VGG19 model is used to perform style transfer using the Keras framework. The style transfer is achieved through the optimization of a loss function that has 3 components: style loss, content loss and total variation loss.
An example of Taj Mahal painted in the style of Van Gogh’s Starry Night.
