Scientists cast doubt on two paintings attributed to Jan van Eyck, one of the world's most renowned artists. The analysis in question involved AI software to examine the brushstrokes and technique used in "Saint Francis of Assisi Receiving the Stigmata," a painting in the Philadelphia Museum of Art, and the Turin version, housed at the Royal Museums of Turin.
Researchers from Art Recognition, a Swiss company that partners with Tilburg University in the Netherlands, applied their AI technology to test for signs of Van Eyck's brushwork. The results were striking: the Philadelphia painting scored 91% negative, suggesting no identifiable brushstrokes or artistic style typical of Van Eyck, while the Turin version was found to be only 86% negative.
This has left scholars and art historians reevaluating their understanding of these two paintings, which had long been considered among the masterpieces of Van Eyck's oeuvre. Some experts now believe that both may have originated from his workshop but not necessarily under his direct hand. This idea is supported by one prominent scholar who described the negative results as "surprising" and said they posed further questions about the authenticity of these paintings.
Critics have noted that the condition of a painting and any subsequent restorations could impact AI-based brushstroke analysis, raising doubts about the accuracy of such assessments. However, experts acknowledge the technology's ability to provide accurate insights into artworks like Rubens' Samson and Delilah at the National Gallery in London, which was recently confirmed as 91% negative.
The implications of these findings are significant, particularly for Van Eyck enthusiasts. His unique mastery of oil painting has long been celebrated, but only a handful of paintings β fewer than 20 β have been universally accepted as his own work. This raises questions about the extent to which his workshop may have created works in his style without direct involvement from him.
As museums prepare for upcoming exhibitions featuring Van Eyck portraits, including one at London's National Gallery, these doubts highlight the need for ongoing scrutiny of artistic attributions and the evolving nature of art historical analysis.
Researchers from Art Recognition, a Swiss company that partners with Tilburg University in the Netherlands, applied their AI technology to test for signs of Van Eyck's brushwork. The results were striking: the Philadelphia painting scored 91% negative, suggesting no identifiable brushstrokes or artistic style typical of Van Eyck, while the Turin version was found to be only 86% negative.
This has left scholars and art historians reevaluating their understanding of these two paintings, which had long been considered among the masterpieces of Van Eyck's oeuvre. Some experts now believe that both may have originated from his workshop but not necessarily under his direct hand. This idea is supported by one prominent scholar who described the negative results as "surprising" and said they posed further questions about the authenticity of these paintings.
Critics have noted that the condition of a painting and any subsequent restorations could impact AI-based brushstroke analysis, raising doubts about the accuracy of such assessments. However, experts acknowledge the technology's ability to provide accurate insights into artworks like Rubens' Samson and Delilah at the National Gallery in London, which was recently confirmed as 91% negative.
The implications of these findings are significant, particularly for Van Eyck enthusiasts. His unique mastery of oil painting has long been celebrated, but only a handful of paintings β fewer than 20 β have been universally accepted as his own work. This raises questions about the extent to which his workshop may have created works in his style without direct involvement from him.
As museums prepare for upcoming exhibitions featuring Van Eyck portraits, including one at London's National Gallery, these doubts highlight the need for ongoing scrutiny of artistic attributions and the evolving nature of art historical analysis.