Al vs. art: can we revive artists with Al?

Bartra Serrano, Selena; Bravo, Bryan; Márquez Parente, Susana; Santillán Hernández, Naihara

Al vs. art: can we revive artists with Al?

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Bartra Serrano, S, Bravo, B, Márquez Parente, S, Santillán Hernández, N. Al vs. art: can we revive artists with Al?. 2024. handle: http://hdl.handle.net/10230/59619

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Abstract

The intersection of art and artificial intelligence (Al) presents a unique opportunity to explore the boundaries of creativity and human expression. This digital humanities project delves into the intriguing question: can we revive artists with Al? By leveraging advanced machine learning algorithms (for instance: Stable Diffusion or Bing Copilot operated by Dall-E), we aim to investigate the possibility of generating new artistic works inspired by renowned artists of the past. The project begins by selecting three famous artists in history, John Everett Millais, Claude Monet and Pablo Picasso. We used Al's such as ChatGPT and Dall-E, to generate responses and images. With this, we wanted to see if it was possible far Artificial lntelligence to replicate or copy the style that these artists showed while they were alive and see how good Al can replicate them. In the end, we concluded that Al cannot replicate these artists since their style of drawings cannot be replicated because of how unique they are. Even if we gave the Al's more info or used other software, the best thing Al can do is recreate a painting that the artist already drew or even a unique one, but still miss out on some big features.