Progressive Growing GAN

Progressive Growing GAN (Generative Adversarial Network) is an advanced AI technique for generating realistic images. It works by starting with low-resolution images and gradually increasing the quality over time. This process involves two neural networks: the generator, which creates images, and the discriminator, which evaluates them. They train together in a way that improves both: the generator learns to create more convincing images, while the discriminator gets better at spotting fakes. This method allows for the creation of high-quality images more efficiently and effectively, ultimately producing clear, detailed visuals that can resemble real-life pictures.