ai art restoration conservation mit 2656171
MIT mechanical engineering student Alex Kachkine has developed a new AI technique that could dramatically speed up the restoration of aged or damaged paintings. The method uses a high-resolution scan of the artwork, an AI algorithm to identify cracks and missing patches, and a digitally printed polymer film—called a "digital mask"—that is overlaid onto the painting and sealed with varnish. The mask can be removed without trace using conservators' solvents. Kachkine tested the process on a 15th-century oil-on-panel painting by the Master of the Prado Adoration of the Magi, where the AI identified 5,612 damaged sections and the restoration took just 3.5 hours—66 times faster than conventional hand inpainting.
