VQGAN

Neural network architecture that combines Generative Adversarial Networks (GANs) with vector quantization to generate high-quality images. VQGAN uses an encoder to compress images into a latent space and a decoder to reconstruct images from this space, with vector quantization enhancing image quality and diversity. This technology is primarily beneficial for researchers and developers in the fields of artificial intelligence and computer vision, aiming to create more realistic and diverse image outputs.