Verson 1

The aim of this project is to see if a computer can generate original art in the style of another artist. Using the neural style transfer technique, I was able to stylize thousands of images and feed that through a AC-GAN. You can click here or my Github to learn more about how the program works.

Above is a GIF of the evolution of the generator. Snapshots were taken every 1000 images asking the generator to predict what the number 0 would look like. It’s clear that this is a significant upgrade from version 0. After using more training data this shows that it is possible to create original art in the style of another artists.

Above is a still taken after 16,000 iterations. Compared to version 0, there is much more structure and a lot more of the color white. It is clear to see that there is a 0 in that picture. There are still many issues however and it is clear that it is very easy to over train the model with diminishing results. Moving forward I would like to optimize the model and look at GANGough as a guide. I also would like to explore making the images larger as the small size limits how much style the images can inherit.

Click here to learn more about how it works!

Click here to follow my progress on Instagram!