Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks

• DOI: 10.48550/arxiv.2401.06803
• Publication Date: 2024-01-01
• Authors: Eleonora Grassucci; Jihong Park; Sergio Barbarossa; Seong‐Lyun Kim; Jinho Choi; Danilo Comminiello
• Keywords: Generative model; Paradigm shift

While deep generative models are showing exciting abilities in computer vision and natural language processing, their adoption communication frameworks is still far underestimated. These methods demonstrated to evolve solutions classic problems such as denoising, restoration, or compression. Nevertheless, can unveil real potential semantic frameworks, which the receiver not asked recover sequence of bits used encode transmitted (semantic) message, but only regenerate content that semantically consistent with message. Disclosing capabilities paves way for a paradigm shift respect conventional systems, has great reduce amount data traffic offers revolutionary versatility novel tasks applications were even conceivable few years ago. In this paper, we present unified perspective role future enabling emerging tasks. Finally, analyze challenges opportunities face develop specifically tailored systems.