Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding

V ariational Autoencoders (V AEs) have seen widespread use in learned image compression. They are used to learn expressive latent representations on which downstream compression methods can operate with high efficiency. Recently proposed'bits-back' methods can indirectly encode the latent representation of