AIArtColor 3D Printing

‘Lost’ Van Gogh painting brought to life using 3D printing

Two UCL researchers have used X-rays, AI and 3D printing to reproduce the artwork 135 years after he painted over it

Stay up to date with everything that is happening in the wonderful world of AM via our LinkedIn community.

Ph.D. researchers Anthony Bourached (UCL Queen Square Institute of Neurology) and George Cann (UCL Space and Climate Physics), have worked with artist, Jesper Eriksson, and have used cutting-edge technology to recreate a long-concealed Van Gogh painting.

It’s the latest in their “NeoMasters” series of recreations, a project they’ve been working on since 2019 to bring lost works of art to life.

The team developed a process to recreate lost works that uses x-ray imaging to see through every layer of paint, AI to extrapolate the artist’s style, and 3D printing to fabricate the final piece.

This newest effort, dubbed “The Two Wrestlers,” depicts two shirtless wrestlers grappling in front of an abstract background. It recreates a painting originally by Van Gogh, who covered over the two figures when he reused the canvas for an unrelated painting of flowers.

“How much it is like the original painting is impossible to tell at this point because the information doesn’t exist. I think it’s very convincing – by far the best guess we can get with current technology,” commented Anthony Bourached, who is researching Machine Learning and Behavioural Neuroscience at UCL.

'Lost' Van Gogh painting brought to life using 3D printing. Two UCL researchers have used X-rays, AI and 3D printing to reproduce the artwork.

The obscured image was first discovered in 2012 when art experts at the University of Antwerp investigated whether the work “Still Life with Meadow Flowers and Roses” was an authentic Van Gogh. The researchers examining the artwork used X-rays to peer through the layers of paint and discovered two ghostly figures that had been painted over.

The covered-over wrestlers displayed brush strokes and pigments that were consistent with Van Gogh, and the subject matter was also a common theme at the Antwerp Art Academy where Van Gogh was studying in 1886 – authenticating the work.

“This week I painted a large thing with two nude torsos – two wrestlers… and I really like doing that,” wrote Van Gogh, in a letter to his brother, Theo, in January of 1886.

Bourached and Cann developed a series of algorithms that identified the edges and created an outline of the figures from the X-ray data. They then used a neural network that learned from hundreds of other Van Gogh works to predict the style of colors, details, and brushstrokes of the painting. Finally, the team used a 3D printer to construct the final art piece.

Using similar image analysis and fabrication techniques, the team was able to resurrect other images that had been considered lost for many years. In 2021, the team first recreated a painted-over image of a crouching nude woman beneath the painting “The Blind Man’s Meal” by Pablo Picasso.

“The Two Wrestlers” was then displayed at the Louvre, in Paris, at the FOCUS Art Fair, alongside three other NeoMasters works, including ones recreating works by Leonardo Da Vinci and Amedeo Modigliani. The exhibition was put on in conjunction with the MORF Gallery in California and the researcher’s company, Oxia Palus.

Research 2022
Polymer AM Market Opportunities and Trends

741 unique polymer AM companies individually surveyed and studied. Core polymer AM market generated $4.6 billion...

Edward Wakefield

Edward is a freelance writer and additive manufacturing enthusiast looking to make AM more accessible and understandable.

Related Articles

Back to top button

We use cookies to give you the best online experience and for ads personalisation. By agreeing you accept the use of cookies in accordance with our cookie policy.

Privacy Settings saved!
Privacy Settings

When you visit any web site, it may store or retrieve information on your browser, mostly in the form of cookies. Control your personal Cookie Services here.

These cookies are necessary for the website to function and cannot be switched off in our systems.

In order to use this website we use the following technically required cookies
  • PHPSESSID
  • wordpress_test_cookie
  • wordpress_logged_in_
  • wordpress_sec

Decline all Services
Accept all Services

STAY AHEAD

OF THE CURVE

Join industry leaders and receive the latest insights on what really matters in AM!

This information will never be shared with 3rd parties

I’ve read and accept the privacy policy.*

WELCOME ON BOARD!