Background
Roman Lipski’s Unfinished collection is a never-ending collection of paintings in which he uses neural networks to generate new artworks based off of his own paintings. He started out by feeding a neural network images of his own paintings, which it used to generate new images. Lipski then used these generated images as inspiration to create new paintings before repeating the process again and again.
Lipski essentially created his own artificial muse and thus an infinite source of inspiration.
Motivation
As a person who likes to draw and paint, one of the many struggles I know too well is creative block. I’ll have the urge to create something, but struggle with a style or the subject matter. Inspired by Roman Lipski’s work, for my final project I want to create my own artificial muse to give ideas for new pieces of art. The end goal is to have at least one artwork that was created based off of ideas from the artificial muse. This project is also an exploration of the creative outcomes that are possible when AI and artists come together and equally work together to produce artwork.
Reference
I will be using the style transfer technique we learned in class to train a model on a previous artwork that I have done. As suggested by Professor Aven, I will be training multiple models at once to explore as many different visual inspirations as possible. The trained style will be transferred onto another one of my old artworks to create a combination of the two, hopefully producing something visually interesting enough to serve as inspiration for a new painting. This graphic illustrates the process I will follow:
