Even with this "check" there are inconsistencies that regularly crop up – and this is where Recycle-GAN comes in. Like cycle-GAN it analyzes the spatial characteristics of the images but unlike cycle-GAN, it incorporates a temporal element, which allows it to scrutinize changes over time.
As well as facial expressions, it can transfer the movement and cadence of the footage. This means it can change the style and movements of one person to fit another but it also means it can manipulate the movement of objects or weather patterns. (See the daffodil and clouds in the video below as an example).
As the video above explains, "This method could help filmmakers work quicker and cheaper or help autonomous cars learn how to drive at night." It could also be used to color black and white movies and even help teach self-driving cars how to manoeuver in the dark.
Of course, it could very well be used for more nefarious purposes.
As the researchers themselves point out, the technique could be used to make Deepfakes, ie any footage that makes it appear someone has said or done something they have not. While there are certain giveaways that can help people in the know catch a Deepfake, they are becoming more and more convincing, and experts have warned they may be used connivingly to influence future global politics. For example, in the video, it compares facial expressions of Obama and Martin Luther King (who share similar ideologies) to Obama and Trump (who do not).
Now, to lighten the mood, here is a compilation of Nick Cage Deepfakes.