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While deep generative models are showing exciting abilities in computer vision and natural language processing, their adoption in communication frameworks is still far underestimated.
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Closest in time.
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D. Gündüz, Z. Qin, I. E. Aguerri, H. S. Dhillon, Z. Yang, A. Yener, K. K. Wong, and C.-B. Chae, “Beyond transmitting bits: Context, semantics, and task-oriented communications,” IEEE Journal on Selected Areas in Communications
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F. Pezone, O. Musa, G. Caire, and S. Barbarossa, “Semantic-preserving image coding based on conditional diffusion models,” in IEEE Int. Conf. on Audio, Speech, and Signal Process. (ICASSP)
2024
Closest in time.