Deep Learning, Machine Learning, Neural Networks, Computer Vision, Artificial Intelligence.
image-to-image translation typically requires a large dataset of paired examples, which are difficult to find. CycleGAN is a technique that involves automatic training without paired examples. The models are trained in an unsupervised manner using a collection of images from the source and target