Research Paper (Progressive Growing of GANs)

"Progressive Growing of GANs" is a technique for training Generative Adversarial Networks (GANs) more effectively. Instead of starting with complex images, it begins by generating simple ones and gradually increases the detail and resolution over time. This incremental approach allows the network to learn more stable and realistic images, improving quality and reducing common issues like blurriness. Essentially, it mimics a learning process where complexity is introduced step-by-step, enabling the GAN to produce high-resolution, realistic images, such as detailed photos or artwork.