Researchers from Carnegie Mellon University and Facebook Reality Lab presented the Recycle-GAN system at the European Conference on Computer Vision (ECCV) in Germany. It builds on the generative adversarial network (GAN) AI algorithm that moves one style of image onto another. Recycle-GAN improves the system by lining up the frames from both videos using “not only spatial, but temporal information.” It also uses a discriminator that scores the consistency of the new video against the source material.
