ProGAN (Progressive Growing of GANs)

ProGAN, or Progressive Growing of Generative Adversarial Networks, is a method for training artificial intelligence to create realistic images. It involves two neural networks: a generator that creates images and a discriminator that evaluates them. Unlike traditional methods, ProGAN starts with low-resolution images and gradually increases their complexity. This progressive approach allows the networks to learn better, as they can focus on simple features first and then refine details. As a result, ProGAN can produce high-quality images that closely resemble real-world visuals, making it a significant advancement in AI-generated art and image synthesis.