Cartoon GAN
Simon Arvidsson and Filip Andersson
This project takes on the problem of transferring the style of cartoon images to real-life photographic images by implementing previous work done by CartoonGAN. Simon and Filip has trained a Generative Adversarial Network (GAN) on over 60 000 images based on the works of Hayao Miyazaki at Studio Ghibli.
![A railroad being transformed into a cartoonish style of graphics](/images/18.6b478d8317420d9c1f018f42/1598607323110/GlaringQuestionableKoala-size_restricted.gif)
![Multiple images being transformed form a regular photo to a cartoonish style](/images/18.6b478d8317420d9c1f0137ee/1598539705001/cartoon_gan.gif)
gan results
More information about the network architecture and the experiments can be found at their publication. Länk till annan webbplats, öppnas i nytt fönster.
architecture
The source code and the trained models can be found at the Github Repository. Länk till annan webbplats, öppnas i nytt fönster.
Simon and Filip have created a cartoon view of the Jönköping city using their trained model which looks like below.
![](/images/18.6b478d8317420d9c1f018f3c/1598607220353/EgTVpR3X0AA_MtB.png)
You can contact to Simon and Filip at;
Simon Arvidsson: https://www.linkedin.com/in/simon-arvidsson-4ba151154/
Filip Andersson: https://www.linkedin.com/in/filip-andersson12/