Generative adversarial networks (GANs): Introduction, Taxonomy, Variants, Limitations, and Applications

Abstract The growing demand for applications based on Generative Adversarial Networks (GANs) has prompted substantial study and analysis in a variety of fields. GAN models have applications in NLP, architectural design, text-to-image, image-to-image, 3D object production, audio-to-image, and predict... View More