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Mit
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Image Credit: Mit
Have a damaged painting? Restore it in just hours with an AI-generated “mask”
- Art restoration typically involves identifying areas needing repair, mixing exact shades, and filling in small regions one at a time.
- Digital tools now allow for creating virtual representations of original, restored works using computer vision techniques.
- A new method by Alex Kachkine at MIT can physically apply digital restorations directly onto original paintings using a polymer film mask.
- The process involves identifying regions needing repair, using thousands of colors, and can be stored for future reference.
- Kachkine's method significantly speeds up restoration, taking only 3.5 hours for a 15th-century painting.
- Ethical concerns arise about maintaining an artist's original style and intent when using such restoration methods.
- The new method aligns digital restorations onto original paintings, aiming to make more art accessible for viewing.
- Kachkine's inspiration came from a desire to restore and make more art visible by combining digital and physical restoration techniques.
- The process involves scanning, analyzing, infilling, and physically applying a digitally restored version onto the original painting.
- Conservators collaborate to ensure the final work aligns with the artist's style and intent in using the new restoration method.
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