Diffusion for compression and wireless
Key facts. Diffusion for compression and wireless: 214 papers on arXiv since 2022 (data through 7 Oct 2026). 46 of its 214 mapped papers (21%) cite “Lossy Image Compression with Conditional Diffusion Models” (2022, arXiv 2209.06950). 31 of its 214 mapped papers (14%) cite “MIMO Channel Estimation using Score-Based Generative Models” (2022, arXiv 2204.07122). 2 new papers 17 Sep–7 Oct.
What’s new
17 Sep – 7 Oct 2026
2 new since 17 Sep
Foundations
Most cited by papers here
- Lossy Image Compression with Conditional Diffusion Models2022cited by 46 here
- MIMO Channel Estimation using Score-Based Generative Models2022cited by 31 here
- Lossy Compression with Gaussian Diffusion2022cited by 30 here
- CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications2023cited by 27 here
- Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior2024cited by 25 here
Lineage
The papers this direction builds on, oldest first.
Each paper on the line cites the one before.
- 2020Denoising Diffusion Probabilistic Modelscited by 148 here
- 2020Denoising Diffusion Implicit Modelscited by 79 here
- 2021Improved Denoising Diffusion Probabilistic Modelscited by 23 here
- 2021Diffusion Models Beat GANs on Image Synthesiscited by 43 here
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 90 here
- 2022Lossy Compression with Gaussian Diffusioncited by 30 here
- 2022Lossy Image Compression with Conditional Diffusion Modelscited by 46 here
- 2023A Residual Diffusion Model for High Perceptual Quality Codec Augmentationcited by 16 here
- 2024Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Priorcited by 25 here
- 2025StableCodec: Taming One-Step Diffusion for Extreme Image Compressioncited by 16 here
14 more it builds on, not in this chain
- 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 62 here
- 2022MIMO Channel Estimation using Score-Based Generative Modelscited by 31 here
- 2022Classifier-Free Diffusion Guidancecited by 22 here
- 2022Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flowcited by 16 here
- 2022Flow Matching for Generative Modelingcited by 28 here
- 2022Scalable Diffusion Models with Transformerscited by 23 here
- 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 28 here
- 2023High-Fidelity Image Compression with Score-based Generative Modelscited by 22 here
- 2023Generative Semantic Communication: Diffusion Models Beyond Bit Recoverycited by 16 here
- 2023CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communicationscited by 27 here
- 2024Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimationcited by 19 here
- 2024Lossy Image Compression with Foundation Diffusion Modelscited by 17 here
- 2024RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Constructioncited by 21 here
- 2024Generative Diffusion Models for High Dimensional Channel Estimationcited by 16 here
The 24 most cited of 604.
Browse
30 of 214, ranked 6–35
- 6High-Fidelity Image Compression with Score-based Generative Models202322
- 7RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction202421
- 8Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation202419
- 9Lossy Image Compression with Foundation Diffusion Models202417
- 10StableCodec: Taming One-Step Diffusion for Extreme Image Compression202516
- 11Generative Diffusion Models for High Dimensional Channel Estimation202416
- 12A Residual Diffusion Model for High Perceptual Quality Codec Augmentation202316
- 13Generative Semantic Communication: Diffusion Models Beyond Bit Recovery202316
- 14Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization202315
- 15Lossy Compression with Pretrained Diffusion Models202514
All 30
- 16High Perceptual Quality Wireless Image Delivery with Denoising Diffusion Models202314
- 17Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse202513
- 18Compressed Image Generation with Denoising Diffusion Codebook Models202512
- 19CDDM: Channel Denoising Diffusion Models for Wireless Communications202312
- 20Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models202212
- 21One-Step Diffusion-Based Image Compression with Semantic Distillation202511
- 22Diffusion models for audio semantic communication202310
- 23RadioDiff-k2: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction20259
- 24OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates20259
- 25Latency-Aware Generative Semantic Communications with Pre-Trained Diffusion Models20249
- 26PerCo (SD): Open Perceptual Compression20249
- 27Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling20239
- 28CommIN: Semantic Image Communications as an Inverse Problem with INN-Guided Diffusion Models20239
- 29Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion20258
- 30Generating High Dimensional User-Specific Wireless Channels using Diffusion Models20248
- 31Denoising Diffusion Error Correction Codes20228
- 32Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission20257
- 33DMCE: Diffusion Model Channel Enhancer for Multi-User Semantic Communication Systems20247
- 34Diffusion-Driven Semantic Communication for Generative Models with Bandwidth Constraints20247
- 35Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study20237