Computer Vision, Gans, Generative Adversarial, Generative Mo, Deep Learning.
this a bit more. Using generative models, we first learn the distribution of the training set and then generate some new observations or data points using the learned distribution with some variations. Now, there are multiple ways to learn this mapping between the model distribution and true