Diffusion-Driven Semantic Communication for Generative Models with Bandwidth Constraints

Understand

Diffusion models have been extensively utilized in AI-generated content (AIGC) in recent years, thanks to the superior generation capabilities.

• Combining with semantic communications, diffusion models are used for tasks such as denoising, data reconstruction, and content generation.
• However, existing diffusion-based generative models do not consider the stringent bandwidth limitation, which limits its application in wireless communication.
• This paper introduces a diffusion-driven semantic communication framework with advanced VAE-based compression for bandwidth-constrained generative model.