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Have a damaged painting? Restore it in just hours with an AI-generated “mask” | MIT News | Massachusetts Institute of Technology

Alex Kachkine, a mechanical engineering graduate student at MIT, has developed a novel method to physically restore damaged paintings using digitally constructed films. This innovative appr…

Have a damaged painting? Restore it in just hours with an AI-generated “mask” | MIT News | Massachusetts Institute of Technology

Jun 15, 2025

Have a damaged painting? Restore it in just hours with an AI-generated “mask” | MIT News | Massachusetts Institute of Technology

Alex Kachkine, a mechanical engineering graduate student at MIT, has developed a novel method to physically restore damaged paintings using digitally constructed films. This innovative appr…

Alex Kachkine, a mechanical engineering graduate student at MIT, has developed a novel method to physically restore damaged paintings using digitally constructed films. This innovative approach allows for the direct application of a digital restoration onto an original artwork, addressing a significant limitation in traditional conservation practices.

The process involves creating a "mask" on a thin polymer film that can be precisely aligned and adhered to the painting, effectively filling in damaged areas. The mask is easily removable, ensuring the original artwork remains unaltered, and a digital record of the restoration is preserved for future reference.

The core of Kachkine's method lies in its speed and efficiency. By leveraging digital tools, the restoration process can be completed in a fraction of the time compared to traditional techniques. For example, Kachkine restored a highly damaged 15th-century oil painting, automatically identifying and filling 5,612 damaged regions with 57,314 different colors in just 3.5 hours.

This is a remarkable improvement, estimated to be 66 times faster than conventional restoration methods, which often take weeks or even years to complete. Kachkine's work has the potential to transform art conservation by making restoration more accessible and efficient. The digital record of the mask provides a clear understanding of the changes made to the painting, which is a significant advancement in the field.

However, Kachkine emphasizes the importance of ethical considerations, particularly in ensuring that the restored version accurately reflects the artist's original style and intent. He advocates for collaboration with conservators to ensure that the method is applied responsibly and with a deep understanding of the artwork's history.

This new method offers a promising solution for the many damaged artworks currently in storage. By accelerating the restoration process, Kachkine's innovation could bring more art to public view, allowing for a greater appreciation of historical works. This approach combines digital precision with physical application, potentially revolutionizing how we preserve and experience art for generations to come.