Style transfer of Aartworks using neural networksKURBEGOVIĆ, ENIO (Avtor) Bosnić, Zoran (Mentor) Papič, Aleš (Komentor) artificial intelligenceneural networksneural style transfermeta networksimage transformation networkscontent imagesstyle imagesIn this thesis, we implement a neural style transfer model, which uses so-called “meta networks” to train image transformation networks. A trained image transformation network takes in two images - a content and a style image, and generates a new image, combining the content from the first with the style from the second image. We take an already existing model and train it on our own style dataset, as well as reduce the size of the content dataset, in order to see how to perform style transfer on a smaller amount of training data. Finally, we create a website, which allows users to generate their own stylized images using our trained models. At the end of the project we can say that meta networks have proven to be very efficient for operations with smaller datasets and they produce satisfactory results.20232023-12-14 09:10:08Diplomsko delo/naloga153006sl