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20242026
most citedLightweight Diffusion Models for Resource-Constrained Semantic Communication

7 citations · 11 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

Gramian Multimodal Representation Learning and Alignment

Giordano Cicchetti, Eleonora Grassucci, Luigi Sigillo +1

Human perception integrates multiple modalities, such as vision, hearing, and language, into a unified understanding of the surrounding reality. While recent multimodal models have…

eess.SP2024★ 7 cited

Lightweight Diffusion Models for Resource-Constrained Semantic Communication

Giovanni Pignata, Eleonora Grassucci, Giordano Cicchetti +1

Recently, generative semantic communication models have proliferated as they are revolutionizing semantic communication frameworks, improving their performance, and opening the way…

cs.CV2024

Language-Oriented Semantic Latent Representation for Image Transmission

Giordano Cicchetti, Eleonora Grassucci, Jihong Park +3

In the new paradigm of semantic communication (SC), the focus is on delivering meanings behind bits by extracting semantic information from raw data. Recent advances in data-to-tex…

eess.SP2024★ 3 cited

Training-Free Multi-User Generative Semantic Communications via Null-Space Diffusion Sampling

Eleonora Grassucci, Jinho Choi, Jihong Park +3

In recent years, novel communication strategies have emerged to face the challenges that the increased number of connected devices and the higher quality of transmitted information…

cs.CV2024★ 1 cited

NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement

Giordano Cicchetti, Danilo Comminiello

Real-world documents may suffer various forms of degradation, often resulting in lower accuracy in optical character recognition (OCR) systems. Therefore, a crucial preprocessing s…