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Have a damaged painting? Restore it in just hours with an AI-generated 'mask'

  • MIT graduate student Alex Kachkine developed a method to restore a late 15th-century oil-on-panel painting by applying a digitally created mask, completing the process in 3.5 hours in Cambridge.
  • Kachkine created this method to restore thousands of paint losses quickly as 5,612 damaged sections were identified and filled with 57,314 unique colors using AI-generated digital data.
  • The mask covers 66,205 square millimeters, about the size of legal paper, and is removable to prevent permanent changes, allowing digital restoration to affect physical repair reversibly.
  • Kachkine estimates the new approach is 66 times faster than traditional brush techniques that could take 200 hours, but he stresses the need for ethical deliberation with conservators to respect original intent.
  • This method could enable restoration of many damaged artworks now held in storage due to cost and time limits, potentially expanding public access to cultural heritage while requiring further assessment of film effects.
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New AI technique developed by researchers drastically reduces the time and cost of restoring works of art not considered valuable enough for traditional conservation

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Nature broke the news in United Kingdom on Wednesday, June 11, 2025.
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