VQ-Diffusion

VQ-Diffusion is a newly introduced generative model that combines vector quantization with diffusion processes for improved image synthesis. The model utilizes a hierarchical latent space with a discrete codebook, achieving state-of-the-art performance on benchmark datasets such as CIFAR-10 and ImageNet, with notable improvements in sample quality and diversity. This advancement provides practitioners with a robust framework for generating high-fidelity images, enhancing capabilities in tasks requiring detailed visual content generation.