UniCodec uses LLM-driven semantic disentanglement at the encoder and diffusion-based compositional generation at the decoder to enable one codec for both human perception and machine vision tasks without task-specific retraining.
Joint autore- gressive and hierarchical priors for learned image compression,
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Semantics Disentanglement and Composition for Universal Image Coding with Efficiently LLM Reasoning and Generative Diffusion
UniCodec uses LLM-driven semantic disentanglement at the encoder and diffusion-based compositional generation at the decoder to enable one codec for both human perception and machine vision tasks without task-specific retraining.