MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining

Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk

Deep Generative Networks (DGNs) are extensively employed in Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and their variants to approximate the data mani…