Our Research

The future of AI in art looks to the past.

In 2024 we plan to expand our research producing new works. We’re looking for world class talent to collaborate with to tackle challenging projects at the forefront of art and technology. We’re looking for Technical Art Historians, Spectroscopists (IRR, XRF and UV imaging), and creative Machine Learning Engineers specialised in generative AI. For further enquiries into our research, collaboration and/or funding please contact us at: [email protected].

Our Journey

On 10th September 2019 Raiders of the Lost Art was submitted to arXiv as a pre-print for our submission to NeurIPS workshop on Machine Learning for Creativity and Design 2019. On 20th September 2019 our work was picked up by MIT Technology Review and subsequently gained worldwide press coverage.

Since then we’ve work under the guidance of the world’s leading experts in art connoisseurship and computer vision, such as Dr. David G. Stork, and have subsequently presented several works at Electronic Imaging 2021, including Bourached et al. (2021) - Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks, Cann et al. (2021) - Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks and Stork et al. (2021) - Computational identification of significant actors in paintings through symbols and attribute.