Mechanical engineer develops AI-generated digital masks to restore damaged paintings
Briefly

Alex Kachkine developed a digital mask system for art restoration that employs a precision-printed polymer film to overlay damaged paintings. This system allows restorers to visually reconstruct damaged areas with the help of artificial intelligence. Although it does not solve every conservation issue, it significantly reduces the time needed for manual repairs from many months to several hours. Kachkine's inspiration stems from their own experience in buying and restoring neglected or abused artworks, aiming to bring them back to a presentable state.
The mask system developed by Kachkine is a fully removable, precision-printed polymer film that overlays art, providing a new way to visually reconstruct images using AI.
This technique, described as a tool in the toolbox for conservators, reduces the time for manual in-painting in heavily damaged paintings from many months to several hours.
Read at The Art Newspaper - International art news and events
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