Type of the project: inter AI performance (AI image generation).
Style Transfer is the technique of applying the style of one image to the content of the other using a deep neural network algorithm. This technique is being extended in this project. The main goal is to impose a painting or a section of it into another painting in such a way that it looks to be genuine. The content object is placed on the style painting, and both content and style are then harmonized by the neural network. It transfers the relevant characteristics of the object onto the target painting and improves the output quality. This project could help in the creation of better artwork with surprising results.
Artist/idea author: Ingo Shandeler
Student developer: Keerthana