This project implements Cycle Generative Adversarial Networks (CycleGANs) to perform style transfer, transforming images to emulate the style of Monet's paintings.
This project was developed as part of the Vision and Cognitive System course at the University of Padua, Computer Science Master's Degree program. The goal is to apply CycleGANs for artistic style transfer, specifically focusing on Monet's painting style. This project was inspired by the Kaggle competition I'm Something of a Painter Myself.
Contributor: Nicla Faccioli