Large Generative Model Assisted 3D Semantic Communication

arXiv:2403.05783v1 Announce Type: cross
Abstract: Semantic Communication (SC) is a novel paradigm for data transmission in 6G. However, there are several challenges posed when performing SC in 3D scenarios: 1) 3D semantic extraction; 2) Latent semantic redundancy; and 3) Uncertain channel estimation. To address these issues, we propose a Generative AI Model assisted 3D SC (GAM-3DSC) system. Firstly, we introduce a 3D Semantic Extractor (3DSE), which employs generative AI models, including Segment Anything Model (SAM) and Neural Radiance Field (NeRF), …

abstract ai model arxiv challenges communication cs.it cs.lg data extraction generative generative ai model however math.it novel paradigm redundancy semantic type uncertain