Variational image compression with a scale hyperprior
ICLR, Volume abs/1802.01436, 2018.
We describe an end-to-end trainable model for image compression based on variational autoencoders. The model incorporates a hyperprior to effectively capture spatial dependencies in the latent representation. This hyperprior relates to side information, a concept universal to virtually all modern image codecs, but largely unexplored in im...More
PPT (Upload PPT)