'A Survey on Generative Adversarial Networks'

"A Survey on Generative Adversarial Networks" reviews the development and applications of GANs, a type of machine learning model that creates realistic data such as images, videos, or audio. GANs involve two neural networks competing against each other: one generates new data, while the other evaluates its authenticity. This competition improves the quality of generated data over time. The survey covers fundamental principles, recent advancements, diverse applications like art and medical imaging, and challenges faced. It provides a comprehensive overview of how GANs are transforming creative and analytical tasks across various fields.