Although AI-based restoration methods can indeed bring new life to damaged paintings, the end result is typically a digital copy of the original painting. By contrast, a new MIT technique applies reversible repairs to the physical painting itself, in the form of a removable mask.
The process was developed by mechanical engineering graduate student Alex Kachkine, who restores paintings via traditional hand-painting techniques as a hobby.
He realized that many galleries have a number of paintings which never get displayed, because they require restoration that would take too long – and thus be too expensive – to perform by hand. Utilizing his method, however, restoration times could be reduced from years, months or weeks down to a matter of hours.