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Mechanical Engineer Creates AI-Driven Digital Masks to Revitalize Damaged Artwork – The Art Newspaper

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Mechanical engineer develops AI-generated digital masks to restore damaged paintings - The Art Newspaper

Mechanical engineer and MIT PhD student Alex Kachkine merges art and technology through innovative painting restoration techniques. A passionate art collector and self-taught restorer, Kachkine developed a disruptive approach using digital masks. This precision-printed polymer film features clear and painted areas that function like custom graphics for art. While not a complete solution for conservation challenges, this technique significantly reduces manual restoration time, transforming months of labor into mere hours. Kachkine utilized generative AI and high-fidelity inkjet printers to digitally reconstruct damaged areas, including a crucial section of a late-15th-century painting. This approach ensures that restorations maintain aesthetic coherence with the original artwork. Kachkine’s work represents a vital advance in art conservation, demonstrating how modern technology can revolutionize restoration practices. Their findings were published in Nature, contributing to the ongoing integration of advanced technologies in the art conservation field, offering hope for the future of painting restoration.

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