most citedMulti-scale and Context-adaptive Entropy Model for Image Compression

11 citations · 14 across the 3 of their papers we have counts for

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eess.IV2020

Variable Rate Image Compression Method with Dead-zone Quantizer

Jing Zhou, Akira Nakagawa, Keizo Kato +3

Deep learning based image compression methods have achieved superior performance compared with transform based conventional codec. With end-to-end Rate-Distortion Optimization (RDO…

eess.IV2019★ 11 cited

Multi-scale and Context-adaptive Entropy Model for Image Compression

Jing Zhou, Sihan Wen, Akira Nakagawa +2

We propose an end-to-end trainable image compression framework with a multi-scale and context-adaptive entropy model, especially for low bitrate compression. Due to the success of…