Diffusion bridges vector quantized variational autoencodersDownload PDFOpen Website

2022 (modified: 24 Apr 2023)ICML 2022Readers: Everyone
Abstract: Vector Quantized-Variational AutoEncoders (VQ-VAE) are generative models based on discrete latent representations of the data, where inputs are mapped to a finite set of learned embeddings. To gene...
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