Art-Free Generative Models: Art Creation Without Graphic Art Knowledge

Hui Ren, Joanna Materzynska, Rohit Gandikota, David Bau, Antonio

Art-Free Generative Models: Art Creation Without Graphic Art Knowledge: 8 upvotes on Hugging Face Daily Papers, #17 of 29 papers on 2024-12-03. Day-by-day upvote history.

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.

Paper page on Hugging Face · arXiv

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