A generative autoencoder that represents hidden data with discrete codes from a codebook.
VQ-VAE is like a school cafeteria using meal numbers. It saves “Meal 4,” not a fancy photo of your pizza.
It turns images or speech into small code numbers. Those codes help AI make new pictures or audio.
VAE
VQ-VAE changes the VAE hidden space into a discrete codebook.
Autoencoder
It still uses the compress first, rebuild later pattern.
Generative Model
Its discrete codes can feed a later generative model.
Representation Learning
It turns images and speech into reusable discrete codes.