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What is: VQ-VAE-2?

SourceGenerating Diverse High-Fidelity Images with VQ-VAE-2
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

VQ-VAE-2 is a type of variational autoencoder that combines a a two-level hierarchical VQ-VAE with a self-attention autoregressive model (PixelCNN) as a prior. The encoder and decoder architectures are kept simple and light-weight as in the original VQ-VAE, with the only difference that hierarchical multi-scale latent maps are used for increased resolution.