6 papers
An Information-Theoretic Metric for Semantic Value of Spatiotemporal Information
Zijing Wang, Zhijin Qin, Siyu Lin +1
With the explosive growth of network scale and data volume, wireless communication is facing an increasingly severe limitation of spectrum resources. Semantic communication has eme…
FlowCodec: One-Step Flow Prior for Generative Image Compression
Yinhuan Huang, Hao Cao, Pu chen +2
Diffusion-based image compression methods, leveraging powerful generative priors, have demonstrated remarkable perceptual quality at ultra-low bitrates. However, adapting modern ge…
Distribution-Aware Constellation Learning for Image Transmission
Xufeng Zhang, Yinhuan Huang, Jingkai Ying +2
Semantic communication has demonstrated significant potential for image transmission, especially in bandwidth-limited and low signal-to-noise ratio scenarios. However, most existin…
Knowledge Distillation Driven Semantic NOMA for Image Transmission with Diffusion Model
Qifei Wang, Zhen Gao, Shuo Sun +3
As a promising 6G enabler beyond conventional bit-level transmission, semantic communication can considerably reduce required bandwidth resources, while its combination with multip…
Semantic-Driven AI Agent Communications: Challenges and Solutions
Kaiwen Yu, Mengying Sun, Zhijin Qin +4
With the rapid growth of intelligent services, communication targets are shifting from humans to artificial intelligent (AI) agents, which require new paradigms to enable real-time…
Large AI Model-Enabled Generative Semantic Communications for Image Transmission
Qiyu Ma, Wanli Ni, Zhijin Qin
The rapid development of generative artificial intelligence (AI) has introduced significant opportunities for enhancing the efficiency and accuracy of image transmission within sem…