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Volume 642 Issue 8067, 12 June 2025
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Volume 642 Issue 8067, 12 June 2025

Picture perfect

Museums and galleries around the world hold a huge number of paintings; many of which are damaged and locked away in storage. Restoring artwork is a painstaking, expensive process — made that much more difficult by the fact often there are thousands of intricate blemishes present. Digital scans and reconstructions have been used to guide restoration work, but there is no easy way to transfer the digitally repaired image to the actual artwork. In this week’s issue, Alex Kachkine presents an approach that turns a computer-generated reconstruction into a reversible physical restoration, cutting the time and costs involved in repairing damaged paintings. The artwork is first digitized and the damaged areas are identified. Generative models are then used to predict how the restored painting should look, and the necessary changes are printed onto a laminate mask. The fully removable mask is then applied to the painting, restoring it to its former glory. Kachkine demonstrates this technique by restoring the fifteenth-century oil painting, attributed to Master of the Prado Adoration, shown on the cover — which is split between the scan of the damage and the final restoration.

Cover image: Alex Kachkine

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