Learning Accurate Entropy Model with Global Reference for Image Compression. (arXiv:2010.08321v3 [eess.IV] UPDATED)

In recent deep image compression neural networks, the entropy model plays a
critical role in estimating the prior distribution of deep image encodings.
Existing methods combine hyperprior with local context in the entropy
estimation function. This greatly limits their performance due to the absence
of a global vision. In this work, we propose a novel Global Reference Model for
image compression to effectively leverage both the local and the global context
information, leading to an enhanced compression rate. The proposed …

arxiv compression entropy global learning reference