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This paper proposes a novel Non-Local Attention Optimized Deep Image Compression (NLAIC) framework, which is built on top of the popular variational auto-encoder (VAE) structure.
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Variational image compression with a scale hyperprior
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Non-local recurrent network for image restoration
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Conditional probability models for deep image compression
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Joint autoregressive and hierarchical priors for learned image compression
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Non-local neural networks
X. Wang, R. Girshick, A. Gupta, and K. He · 2018
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Gated context model with embedded priors for deep image compression
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