


  • The model uses “single-shot learning” to create videos from a single picture.

An AI can now take a single picture of a person’s face and animate it convincingly. This can lead to animating paintings and photos but also add to the mistrust of images and deepfakes online. 


What is different here from previous technology that has been developed to achieve this is the fact that rather than needing a lot of data (like video) to analyze, this approach called “single-shot learning” needs just one image of a person’s face. The video that is generated from that can show the face making a range of expressions and speaking with reasonable credibility.


The new AI also uses the Generative Adversarial Network, having two models compete against each other in creating a more “real” result.

Here’s how adversarial learning works:

Where can you use this technology, other than contributing to the epidemic of fake news that is sure to eventually affect personal relationships as much as the national conversations? “Such ability has practical applications for telepresence, including videoconferencing and multi-player games, as well as [the] special effects industry,” Samsung said.

You can read the paper from the Samsung AI Center here.

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