Samsung developing algorithm that only needs one picture to create a fake video

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As if the world of deep-faked pictures and video wasn't scary enough, researchers from Samsung's AI center in Moscow have demonstrated an algorithm that can fabricate videos using only one image. 

In a video demonstration and a paper published in the pre-print journal ArXiv, the researchers show the capabilities of what is described as 'one-shot' and 'few-shot' machine learning.

The results of their system bring to life popular faces like those of surrealist painter Salvador Dali and actress Marilyn Monroe using a single still image. 

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The more images that are fed into the program, the more realistic the resulting video becomes. 

Though a single image translated into a moving face may look noticeably altered, a sample of 32 images produces a moving picture with near lifelike accuracy. 

Researchers' technology appears to take algorithms used to produce deepfakes far beyond existing methods not just in terms of realism, but in the amount of work that goes into creating photorealistic fakes. 

Current AI systems are usually trained on an extensive catalog, requiring the algorithm to scan large data sets of a subjects body or face. 

This method limits the system's application to individuals who have sufficient amounts of pictures and videos available for use.

In the case of the researchers new software, however, those data sets are a more of a luxury than a necessity. 

The newest algorithm was trained using the publicly available VoxCeleb database which contains more than 7,000 images of celebrities from YouTube videos.

Using that data set, the AI was able to establish what researchers call 'landmark' features-- universally identifiable traits -- among subjects' noise, eyes, and more.

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