VQ-Diffusion

This post introduces VQ-Diffusion, a novel diffusion model that leverages Vector Quantization (VQ) to compress the latent space, leading to more efficient and higher-quality image generation. It details the architecture, which combines a VQ-VAE for latent space compression with a diffusion model operating in this quantized space. The post provides implementation details and demonstrates its effectiveness on image generation tasks, showcasing improved FID scores and reduced computational requirements compared to standard diffusion models.