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Diffusion bridges vector quantized variational autoencoders
Max Cohen
,
Guillaume Quispe
,
Sylvain Le Corff
,
Charles Ollion
,
Eric Moulines
2022 (modified: 24 Apr 2023)
ICML 2022
Readers:
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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