Art-Free Generative Models: Art Creation Without Graphic Art Knowledge
Authors: name: Hui Ren, name: Joanna Materzynska, name: Rohit Gandikota, name: David Bau, name: Antonio Torralba

We explore the question: "How much prior art knowledge is needed to create
art?" To investigate this, we propose a text-to-image generation model trained
without access to art-related content. We then introduce a simple yet effective
method to learn an art adapter using only a few examples of selected artistic
styles. Our experiments show that art generated using our method is perceived
by users as comparable to art produced by models trained on large, art-rich
datasets. Finally, through data attribution techniques, we illustrate how
examples from both artistic and non-artistic datasets contributed to the
creation of new artistic styles.