A generative semantic communication system that sends compressed semantic information and uses diffusion models with spatially-adaptive normalizations to reconstruct high-quality, semantically consistent images even under severe channel noise.
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Introduces a null-space diffusion sampling method for training-free multi-user generative semantic communications in OFDMA systems.
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Generative Semantic Communication: Diffusion Models Beyond Bit Recovery
A generative semantic communication system that sends compressed semantic information and uses diffusion models with spatially-adaptive normalizations to reconstruct high-quality, semantically consistent images even under severe channel noise.
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Training-Free Multi-User Generative Semantic Communications via Null-Space Diffusion Sampling
Introduces a null-space diffusion sampling method for training-free multi-user generative semantic communications in OFDMA systems.