{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T14:51:54Z","timestamp":1787237514374,"version":"build-2736575974"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["624B2133"],"award-info":[{"award-number":["624B2133"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62371313"],"award-info":[{"award-number":["62371313"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Young Talent Research Project","award":["2023TQ07A708"],"award-info":[{"award-number":["2023TQ07A708"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62293481"],"award-info":[{"award-number":["62293481"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2024YFE0200804"],"award-info":[{"award-number":["2024YFE0200804"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["226-2024-00069"],"award-info":[{"award-number":["226-2024-00069"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21A20443"],"award-info":[{"award-number":["U21A20443"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"UKRI under project AI-R","award":["EP\/X030806\/1"],"award-info":[{"award-number":["EP\/X030806\/1"]}]},{"name":"INFORMED-AI","award":["EP\/Y028732\/1"],"award-info":[{"award-number":["EP\/Y028732\/1"]}]},{"name":"SNS JU project 6G-GOALS under the EU Horizon program","award":["101139232"],"award-info":[{"award-number":["101139232"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Wireless Commun."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/twc.2025.3591456","type":"journal-article","created":{"date-parts":[[2025,7,29]],"date-time":"2025-07-29T18:32:17Z","timestamp":1753813937000},"page":"1547-1564","source":"Crossref","is-referenced-by-count":26,"title":["Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7649-9260","authenticated-orcid":false,"given":"Maojun","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2137-6907","authenticated-orcid":false,"given":"Haotian","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9532-9201","authenticated-orcid":false,"given":"Guangxu","family":"Zhu","sequence":"additional","affiliation":[{"name":"Shenzhen Research Institute of Big Data, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1480-585X","authenticated-orcid":false,"given":"Richeng","family":"Jin","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1818-2135","authenticated-orcid":false,"given":"Xiaoming","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7725-395X","authenticated-orcid":false,"given":"Deniz","family":"G\u00fcnd\u00fcz","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/WCSP62071.2024.10826825"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3223408"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2019.2919300"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/jproc.2024.3477331"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3180802"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2024.3386052"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2024.3422794"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500996"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2022.3204837"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/jsac.2025.3531579"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45041.2023.10279499"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.2300196"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2022.3231042"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2024.3386577"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3288243"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2024.3379244"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3082521"},{"key":"ref18","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. NIPS","volume":"33","author":"Ho"},{"key":"ref19","first-page":"8780","article-title":"Diffusion models beat GANs on image synthesis","volume-title":"Proc. NIPS","volume":"34","author":"Dhariwal"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref21","article-title":"Pixart-\u03b4: Fast and controllable image generation with latent consistency models","author":"Chen","year":"2024","journal-title":"arXiv:2401.05252"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"ref23","article-title":"Text + sketch: Image compression at ultra low rates","author":"Lei","year":"2023","journal-title":"arXiv:2307.01944"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2024.3429295"},{"key":"ref25","article-title":"FAST-GSC: Fast and adaptive semantic transmission for generative semantic communication","author":"Wang","year":"2024","journal-title":"arXiv:2407.15395"},{"key":"ref26","article-title":"Diff-GO: Diffusion goal-oriented communications to achieve ultra-high spectrum efficiency","author":"Wijesinghe","year":"2023","journal-title":"arXiv:2312.02984"},{"key":"ref27","first-page":"1","article-title":"Lossy image compression with conditional diffusion models","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Yang"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC53906.2023.10304477"},{"key":"ref29","article-title":"High perceptual quality wireless image delivery with denoising diffusion models","author":"Yilmaz","year":"2023","journal-title":"arXiv:2309.15889"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10448462"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/tmlcn.2025.3628535"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2025.3535714"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/jsac.2025.3559149"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2025.3553851"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/jsac.2025.3559158"},{"key":"ref36","article-title":"Extreme generative image compression by learning text embedding from diffusion models","author":"Pan","year":"2022","journal-title":"arXiv:2211.07793"},{"key":"ref37","first-page":"1","article-title":"Towards image compression with perfect realism at ultra-low bitrates","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Careil"},{"key":"ref38","first-page":"19730","article-title":"BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models","volume-title":"Proc. Int. Conf. Mach. learning(ICML)","author":"Li"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02452"},{"key":"ref40","article-title":"Denoising diffusion implicit models","author":"Song","year":"2020","journal-title":"arXiv:2010.02502"},{"key":"ref41","article-title":"On the importance of noise scheduling for diffusion models","author":"Chen","year":"2023","journal-title":"arXiv:2301.10972"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00387"},{"key":"ref43","article-title":"Pixart-\u03b1: Fast training of diffusion transformer for photorealistic text-to-image synthesis","author":"Chen","year":"2023","journal-title":"arXiv:2310.00426"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/iccv51070.2023.02117"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8101139"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref47","first-page":"1","article-title":"JourneyDB: A benchmark for generative image understanding","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Pan"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00356"},{"key":"ref49","first-page":"1","article-title":"DataComp: In search of the next generation of multimodal datasets","volume":"36","author":"Gadre","year":"2023","journal-title":"Adv. Neural Inf. Proc. Syst. (NeurIPS)"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20071-7_38"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2025.3591456"}],"container-title":["IEEE Transactions on Wireless Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7693\/11298242\/11099589.pdf?arnumber=11099589","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:09:58Z","timestamp":1768255798000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11099589\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/twc.2025.3591456","relation":{},"ISSN":["1536-1276","1558-2248"],"issn-type":[{"value":"1536-1276","type":"print"},{"value":"1558-2248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}