Wireless Video Semantic Communication with Decoupled Diffusion Multi-frame Compensation
Not on the map. Why?
Abstract (arXiv)
Existing wireless video transmission schemes directly conduct video coding in pixel level, while neglecting the inner semantics contained in videos. In this paper, we propose a wireless video semantic communication framework with decoupled diffusion multi-frame compensation (DDMFC), abbreviated as WVSC-D, which integrates the idea of semantic communication into wireless video transmission scenarios. WVSC-D first encodes original video frames as semantic frames and then conducts video coding based on such compact representations, enabling the video coding in semantic level rather than pixel level. Moreover, to further reduce the communication overhead, a reference semantic frame is introduced to substitute motion vectors of each frame in common video coding methods. At the receiver, DDMFC is proposed to generate compensated current semantic frame by a two-stage conditional diffusion process. With both the reference frame transmission and DDMFC frame compensation, the bandwidth efficiency improves with satisfying video transmission performance. Experimental results verify the performance gain of WVSC-D over other DL-based methods e.g. DVSC about 1.8 dB in terms of PSNR.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 29 of its 47 references that are in the map. First posted on arXiv 4 Nov 2025.
Builds on
29 of 47 references.
References · 29
- 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
- 2020Denoising Diffusion Probabilistic Modelscited by 20,851
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
- 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
- 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
- 2020Denoising Diffusion Implicit Modelscited by 9,655
- 2019Your Classifier is Secretly an Energy Based Model and You Should Treat it Like Onecited by 402
- 2023VideoFusion: Decomposed Diffusion Models for High-Quality Video Generationcited by 330
- 2018DVC: An End-to-end Deep Video Compression Frameworkcited by 324
- 2020Deep Learning Enabled Semantic Communication Systemscited by 282
- 2021FVC: A New Framework towards Deep Video Compression in Feature Spacecited by 149
- 2022Sionna: An Open-Source Library for Next-Generation Physical Layer Researchcited by 143
17 more
- 2020M-LVC: Multiple Frames Prediction for Learned Video Compressioncited by 106
- 2024DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editingcited by 88
- 2021Nonlinear Transform Source-Channel Coding for Semantic Communicationscited by 73
- 2023CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communicationscited by 58
- 2024360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Modelcited by 56
- 2022Robust Semantic Communications with Masked VQ-VAE Enabled Codebookcited by 53
- 2022Wireless Semantic Communications for Video Conferencingcited by 49
- 2022WITT: A Wireless Image Transmission Transformer for Semantic Communicationscited by 36
- 2024Joint Source-Channel Coding: Fundamentals and Recent Progress in Practical Designscited by 32
- 2023Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networkscited by 26
- 2023Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenescited by 25
- 2023Generative Face Video Coding Techniques and Standardization Efforts: A Reviewcited by 19
- 2023Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesiscited by 18
- 2022Advancing Learned Video Compression with In-loop Frame Predictioncited by 14
- 2024DMCE: Diffusion Model Channel Enhancer for Multi-User Semantic Communication Systemscited by 11
- 2024Robust Image Semantic Coding with Learnable CSI Fusion Masking over MIMO Fading Channelscited by 9
- 2025WVSC: Wireless Video Semantic Communication with Multi-frame Compensationcited by 2
Built on by
Citing papers per year: 2025: 1.
1 paper.