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.
14 Articles
14 Articles
Have a damaged painting? Restore it in just hours with an AI-generated 'mask'
Art restoration takes steady hands and a discerning eye. For centuries, conservators have restored paintings by identifying areas needing repair, then mixing an exact shade to fill in one area at a time. Often, a painting can have thousands of tiny regions requiring individual attention. Restoring a single painting can take anywhere from a few weeks to over a decade.
Physical restoration of a painting with a digitally constructed mask
Conservation of damaged oil paintings requires manual inpainting of losses1,2, leading to months-long treatments of considerable expense; 70% of paintings in institutional collections are locked away from public view, in part because of treatment cost3,4. Recent advancements in digital image reconstruction have helped to envision treatment results, although without any direct means of achieving them5–8. Here I describe the physically applied dig…
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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