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The enigmatic , paint grin of the " Mona Lisa " is known around the existence , but that famous expression recently display a startling new image of face , courtesy ofartificial intelligence(AI ) .
In a videoshared to YouTubeon May 21 , three video clips show disconcerting examples of the Mona Lisa as she moves her lips and turn her head . She was created by a convolutional neuronic internet — a type of AI that processes information much as a human brain does , to analyze and summons images .
A new type of artificial intelligence can generate a “living portrait” from just one image.
Researchers discipline the algorithm to read facial features ' universal shapes and how they behave relative to each other , and then to apply that data to still images . The outcome was a naturalistic video recording sequence of new facial expression from a exclusive human body . [ Can machine Be Creative ? Meet 9 AI ' Artists ' ]
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 magazine was still recognisable as the Mona Lisa , variations in the training model ' feeling and behavior lent decided " personalities " to the " living portraits , " Egor Zakharov , an engineer with the Skolkovo Institute of Science and Technology , and the Samsung AI Center ( both locate in Moscow ) , explained in the video .
Zakharov and his workfellow also generated animation from photos of twentieth - century cultural icons such asAlbert Einstein , Marilyn Monroe and Salvador Dali . The researchers described their findings , which were not peer - brush up , in a written report publish online May 20 in the preprint journalarXiv .
Familiar faces take on unfamiliar expressions.
bring about original videos such as these , known as deepfakes , is n’t gentle . Human heads are geometrically complex and extremely dynamic ; 3D models of heads have " ten of million of parameters , " the study authors wrote .
What ’s more , the human vision system is very good at identifying " even modest mistake " in 3D - model human headway , according to the survey . ascertain something that looks almost human — but not quite — trigger a aesthesis of wakeless unease known as theuncanny valley effect .
AI has antecedently demo that producing convincing deepfakes is possible , but it required multiple angles of the desired subject field . For the new bailiwick , the engineers introduced the AI to a very large dataset of consultation videos showinghuman faces in action mechanism . The scientists established facial landmarks that would apply to any side , to instruct the neural meshwork how faces do in general .
Then , they trained the AI to employ the reference grammatical construction to map movement of the root ’s features . This enabled the AI to create a deepfake even when it had just one image to work from , the researchers report .
And more source epitome rescue an even more detailed result in the last living . Videos make from 32 images , rather than just one , attain " perfect realism " in a exploiter field , the scientists write .
Originally print onLive skill .
