Watch the Mona Lisa Come to Life in Stunning Clips Created by AI

We are all familiar with the enigmatic smile of the “Mona Lisa,” but that famous face recently displayed a stunning new range of expressions, thanks to artificial intelligence (AI).

Russian scientists have created a facial learning algorithm that is capable of producing personalized talking head models from just a few image views of a person, potentially even a single image. With the new technology – a type of AI that processes information much as a human brain does, to analyze and process images – even portrait paintings can be brought to life.

In a recent video shared to YouTube on May 21, three video clips show some eerily life-like examples of the Mona Lisa as she appears to talk and move her head. Just look at how startling it is to see her in “real” life. (Large image, may take some time to load)

The research team trained the algorithm to understand the general shapes of facial features and how those shapes behave relative to each other. After applying that information to still images, they ended up with a realistic video sequence of new facial expressions created from a single frame.

For the Mona Lisa videos, the AI “learned” facial movement from datasets of three human subjects, producing three very different animations. While each of the three clips was still recognizable as the Mona Lisa, variations in the training models’ looks and behavior lent distinct “personalities” to the “living portraits,” study lead author Egor Zakharov, an engineer with the Skolkovo Institute of Science and Technology, and the Samsung AI Center (both located in Moscow), explains in the video in which other paintings also come to life.

The scientists realize that their technology can have a negative use in the area of so-called “deepfake” videos, but they point out that Hollywood has been making fake videos (aka “special effects”) for a century, and deep networks with similar capabilities have been available for the past several years. In fact, they are hopeful that their work will contribute to the democratization of the certain special effects technologies, underlining that the democratization of technologies has always had negative side effects.


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