AI RESEARCH
HiDE: Hierarchical Dictionary-Based Entropy Modeling for Learned Image Compression
arXiv CS.CV
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ArXi:2603.06766v1 Announce Type: cross Learned image compression (LIC) has achieved remarkable coding efficiency, where entropy modeling plays a pivotal role in minimizing bitrate through informative priors. Existing methods predominantly exploit internal contexts within the input image, yet the rich external priors embedded in large-scale