Generative Adversarial, Computer Vision, Gan, Machine Learning, Computer Science.
effective than traditional GANs, and have been used to generate high-quality images and solve problems in semi-supervised learning. The paper can be found here: https://arxiv.org/abs/1701.07875 This is a widely cited paper in the field of generative models, and it is considered a fundamental