Improved Image Generation via Sparse Modeling. (arXiv:2104.00464v2 [cs.CV] UPDATED)

The interest of the deep learning community in image synthesis has grown
massively in recent years. Nowadays, deep generative methods, and especially
Generative Adversarial Networks (GANs), are leading to state-of-the-art
performance, capable of synthesizing images that appear realistic. While the
efforts for improving the quality of the generated images are extensive, most
attempts still consider the generator part as an uncorroborated "black-box". In
this paper, we aim to provide a better understanding and design of the image
generation process. We …

arxiv cv generation image image generation modeling