Removable transparent films apply digital restorations directly to damaged artwork.

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MIT graduate student Alex Kachkine developed a revolutionary art restoration technique using AI-generated polymer films that can restore damaged paintings in hours instead of months. The method creates transparent masks with thousands of precisely color-matched regions that can be applied to artwork and removed when needed, making restoration reversible. An AI model identified damage patterns and generated over 57,000 different colors to restore a 15th-century painting with 5,612 damaged regions in just 3.5 hours. This approach could help make the 70% of institutional art collections currently hidden due to damage accessible to the public again.

MIT student prints AI polymer masks to restore paintings in hours

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<p>link to the original paper: <a href="https://www.nature.com/articles/s41586-025-09045-4" target="_blank" rel="noopener nofollow">https://www.nature.com/articles/s41586-025-09045-4</a></p>
