Carnegie Mellon University researchers have developed a new method of automatically transforming the content of one video into the style of another.
Since the data-driven method (called Recycle-GAN) does not require human intervention, it can quickly transform large amounts of video, making it useful for movie production.
In addition, the new system can be used to colorize black-and-white films or create content for virtual reality experiences, as well as potentially being used to create "deep fakes," videos in which a person's image is inserted without permission.
The technique relies on generative adversarial networks that help computers understand how to apply the style of one image to another.
From Carnegie Mellon University
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