VQ-VAE-2
VQ-VAE-2 is a hierarchical vector quantized variational autoencoder designed to improve generative modeling of images by combining multi-scale latent representations. It extends its predecessor by introducing a two-level latent hierarchy, enabling high-quality image generation and efficient compression.