Madonna

Oxia Palus

2020 / GANs, GPUs, Multispectral Imaging

Oxia Palus is on a mission to uncover masterpieces lost to the ages using the power of AI. It’s a powerful dichotomy of history and innovative technology that can give us true insight into art lost to the ages.  

The Process

STEP ONE

The Leonardeschi were a group of artists that worked in the studio of or under the influence Leonardo da Vinci, and 225 of their paintings were used to train the NVIDIA pix2pixHD model.

The Madonna of the Carnation diagram is one example of an application of the model in which the model can map an edgemap back to a painting.

Training the pix2pixHD model with a coarse-grained labeling semantic helps to guide the model in recognizing attributes such as hair and skin.

Step Two

Oxia Palus manually co-registered (aligned) the x-ray of da Vinci's Virgin on the Rocks, from Imperial College London, with the x-ray trace produced by the National Gallery.

They then further manually edited the co-registered image, adding in missing trace components and labeling attributes such as skin, hair, and clothing.

 
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Translucent colored labeling was used to prevent saturation of the underlying co-registered image.

Step Three

 
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The left video shows a varying set of input color maps of a segment of the Virgin of the Rocks x-ray. The right video shows the output of the pix2pixHD Leonardeschi model, with a set of input color maps on the left. The X-ray is not a perfect ghostly outline. But by varying it slightly, a smooth video of potential reconstructions is created.

The Painting

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George Cann

George's journey into the world of AI art is circular, from art to space science to machine learning to art. His work reconstructing the past with AI offers an alternative to how AI is creating new value in art. George is also a PhD candidate at University College London researching biosignatures in the Martian atmosphere and he holds a Master’s in Space Science and Engineering from University College London and a Bachelor’s in Mathematics and Physics from the University of Warwick.

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Anthony Bourached

Anthony’s research involves animal pose extraction using state-of-the-art machine vision techniques that’s used to create complex behavioral analysis across different subjects and species. He’s focused on revolutionizing automated behavioral analytics and creating widespread benefits in healthcare applications. Anthony holds a BA in theoretical physics from Trinity College Dublin, an MSc in high-performance computing from the University of Edinburgh, and an MSc in machine learning from University College London.

Anthony Bourached

Anthony’s research involves animal pose extraction using state-of-the-art machine vision techniques that’s used to create complex behavioral analysis across different subjects and species. He’s focused on revolutionizing automated behavioral analytics and creating widespread benefits in healthcare applications. Anthony holds a BA in theoretical physics from Trinity College Dublin, an MSc in high-performance computing from the University of Edinburgh, and an MSc in machine learning from University College London.

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