Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision.
examples. The goal is to learn a mapping G : X → Y such that the distribution of images from G(X) is indistinguishable from the distribution Y using an adversarial loss. Because this mapping is highly under-constrained, it is coupled with an inverse mapping F : Y → X and a cycle consistency loss is