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

ArXi:2405.09866v2 Announce Type: replace-cross 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 are posing. Among them, semantic communication obtained promising results especially when combined with state-of-the-art deep generative models, such as large language or diffusion models, able to regenerate content from extremely compressed semantic information.