A finite set of trainable priors, selected by predicted indices, decouples entropy coding complexity from the probabilistic model family in neural image compression, enabling faster and lighter codecs that still beat BPG.
The JPEG still picture compression standard,
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Learning Switchable Priors for Neural Image Compression
A finite set of trainable priors, selected by predicted indices, decouples entropy coding complexity from the probabilistic model family in neural image compression, enabling faster and lighter codecs that still beat BPG.