Part 7/10:
Generative models, including Generative Adversarial Networks (GANs), have been a significant focus of recent advances. These models learn to generate new data instances that mirror the underlying characteristics of the training set. While GANs have revolutionized image generation due to their ability to learn rich, high-dimensional distributions, the intrinsic architecture often proves more impactful than the specific loss function employed during training.
- Domain Translation: