Before revision:  Generative Adversarial Networks ( GAN) have Generative Adversarial Networks (GAN) have recently emerged as a groundbreaking approach to efficiently learn generative models that produce realistic Synthetic Data (SD). However, the application of GAN to OHD seems to have been lagging in comparison to other fields.
After revision:  Generative Adversarial Networks ( GAN) have Generative Adversarial Networks (GAN) have recently emerged as a groundbreaking way to learn generative models that produce realistic Synthetic Data (SD). However, the application of GAN to OHD seems to have been lagging in comparison to other fields.