AI helped create the artwork that had been hidden beneath Pablo Picasso’s painting for nearly 120 years.
A mysterious landscape lurks beneath the visible surface of Picasso La Miséreuse Accroupie (The Crouching Beggar), a depiction of a poor woman.
In 2018, researchers used a fluorescent X-ray imaging instrument to detect a faint image of a covered scene.
Art historians suspect it is a painting of a park near Barcelona painted by Santiago Rusiñol, a friend of Picasso and leader of Catalan modernism. Theg believe me Picasso followed the hills in the landscape to shape the contours of the squatting backs.
[Read: New AI technique transforms any image into the style of famous artists]
An X-ray revealed a blurry shadow of the image. AI is used for detailed image and color reconstruction.
Resurrection of buried art
He made recreation Oxia Palus, an art collective that uses AI to discover lost masterpieces.
The Oxia Palus team used a combination of spectroscopic imaging, AI and 3D printing to update the visible trace of the landscape. The method is called the “neomastic process”.
They then used a 3D height map to paint the layer on canvas in a Rusinol style. They say the approach integrates the depth, thickness, and approximate length of the artist’s brush strokes into recreation.
Oxia Palus co-founder George Cann says the process can shed light on hidden works of art:
As we use more artificial intelligence to accelerate the identification and reconstruction of critically important lost art, we will have an extremely significant impact in enabling a better understanding of the intertwined history of art and society.
Oxia Palus now sells 100 canvases, with the inevitable NFT escort.
We cannot know how much the reinterpretation coincides with Rusiñol’s original, but the technique could be an interesting tool for art historians.
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Published April 8, 2021 – 6:29 pm UTC