High-Resolution Image Generation with Progressive Growing GANs: Techniques and Applications

Abstract

The rapid advancement of Generative Adversarial Networks (GANs) has significantly impacted the field of image synthesis. This paper explores the fundamentals of GANs, their evolution, and their applications in image synthesis. We review the key architectures and techniques that have emerged, assess their performance, and discuss future directions in this dynamic field.