Image Synthesis with Adversarial Networks: a Comprehensive Survey and
Case Studies
Image Synthesis with Adversarial Networks: a Comprehensive Survey and
Case Studies
Generative Adversarial Networks (GANs) have been extremely successful in various application domains such as computer vision, medicine, and natural language processing. Moreover, transforming an object or person to a desired shape become a well-studied research in the GANs. GANs are powerful models for learning complex distributions to synthesize semantically meaningful …