This paper presents the Generative Adversarial Networks (GANs)-based image semantic
coding, the goal of which is semantic exchange rather than symbol transmission. State-of …

Semantic communications has received growing interest since it can remarkably reduce the
amount of data to be transmitted without missing critical information. Most existing works …

Recent works have shown that joint source-channel coding (JSCC) schemes using deep
neural networks (DNNs), called DeepJSCC, provide promising results in wireless image …

Task-driven semantic video/image coding has drawn considerable attention with the
development of intelligent media applications, such as license plate detection, face …

Semantic communication is a newly emerged communication paradigm that exploits deep
learning (DL) models to realize communication processes like source coding and channel …

In existing semantic communication systems for image transmission, some images are
generally reconstructed with considerably low quality. As a result, the reliable transmission …

In this paper, we propose a class of high-efficiency deep joint source-channel coding
methods that can closely adapt to the source distribution under the nonlinear transform, it …

Semantic communication is considered the future of mobile communication, which aims to
transmit data beyond Shannon's theorem of communications by transmitting the semantic …

Deep learning (DL) based semantic communication methods have been explored to
transmit images efficiently in recent years. In this paper, we propose a generative model …

Existing deep learning-enabled semantic communication systems often rely on shared
background knowledge between the transmitter and receiver that includes empirical data …