A new restoration technique combines artificial intelligence and computer tools to rejuvenate oil paintings in hours instead of years. Graduate researcher Alex Kachkine at MIT demonstrated this method on a late 15th-century painting, addressing extensive damage that traditional methods would take around 200 hours to repair. The process involves scanning the artwork, identifying damaged areas, creating a digital mask to match colors and patterns, and finally printing the reconstruction on a transparent sheet that is carefully applied to the original. This innovative approach significantly speeds up the conservation process for valuable artworks.
The promise of a fresh approach using AI and digital tools transforms restoration from years to hours for severely damaged artwork.
Alex Kachkine used digital reconstruction with AI and Photoshop to repair a late 15th-century oil painting, cutting down traditional restoration time significantly.
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