Stylenet is a procedure that takes two images and applies the style of one image to the content of the second image. It is based on a famous paper in 2015, A Neural Algorithm of Artistic Style (refer to the first bullet point under the next See also section). The authors found a property in some CNNs where intermediate layers exist that seem to encode the style of a picture, and some encode the content of the picture. To this end, if we train the style layers on the style picture and the content layers on the original image, and back-propagate those calculated losses, we can change the original image to be more like the style image.
In order to accomplish this, we will download the network recommended by the paper; called the ...
