{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T20:28:51Z","timestamp":1784665731999,"version":"3.55.0"},"reference-count":41,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["4242016"],"award-info":[{"award-number":["4242016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005089","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["62572018"],"award-info":[{"award-number":["62572018"]}],"id":[{"id":"10.13039\/501100005089","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3663209","type":"journal-article","created":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T21:05:50Z","timestamp":1770757550000},"page":"39512-39533","source":"Crossref","is-referenced-by-count":1,"title":["Denoising With a Compass: Geometry-Guided Diffusion for Robust Low-Quality Image Segmentation"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6735-3739","authenticated-orcid":false,"given":"Maoyang","family":"Xu","sequence":"first","affiliation":[{"name":"Century College, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-8291-5278","authenticated-orcid":false,"given":"Nana","family":"He","sequence":"additional","affiliation":[{"name":"Century College, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Liu","sequence":"additional","affiliation":[{"name":"Century College, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fujiao","family":"Ju","sequence":"additional","affiliation":[{"name":"Beijing University of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref2","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho"},{"key":"ref3","first-page":"1","article-title":"Benchmarking neural network robustness to common corruptions and perturbations","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Hendrycks"},{"key":"ref4","first-page":"1","article-title":"Bench-marking robustness in object detection: Autonomous driving when winter is coming","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Michaelis"},{"key":"ref5","article-title":"Edge-aware plug-and-play scheme for semantic segmentation","author":"Yi","year":"2023","journal-title":"arXiv:2303.10307"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/access.2025.3548128"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00391"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2025.104425"},{"key":"ref9","article-title":"MedSegDiff: Medical image segmentation with diffusion probabilistic model","author":"Wu","year":"2022","journal-title":"arXiv:2211.00611"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2019.00328"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2017.2662206"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref13","article-title":"Diffusion models beat GANs on image synthesis","volume-title":"Proc. 35th Int. Conf. Neural Inf. Process. Syst.","author":"Dhariwal"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2025.3545047"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00070"},{"key":"ref16","article-title":"SAM-DiffSR: Structure-modulated diffusion model for image super-resolution","author":"Wang","year":"2024","journal-title":"arXiv:2402.17133"},{"key":"ref17","article-title":"DSPFusion: Image fusion via degradation and semantic dual-prior guidance","author":"Tang","year":"2025","journal-title":"arXiv:2503.23355"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2024.3437250"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2025.108139"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-024-01206-7"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01979-4"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1004-z"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2017.261"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3528233.3530757"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2017.322"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"ref28","first-page":"2366","article-title":"Depth map prediction from a single image using a multi-scale deep net-work","volume-title":"Proc. 28th Int. Conf. Neural Inf. Process. Syst.","volume":"2","author":"Eigen"},{"key":"ref29","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2018.2878849"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2009.5206848"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2017.244"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00008"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/icra.2019.8794443"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-024-01654-9"},{"key":"ref39","article-title":"Cascaded diffusion models for high fidelity image generation","author":"Ho","year":"2021","journal-title":"arXiv:2106.15282"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11045-020-00760-x"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-032-05182-0_28"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11389787.pdf?arnumber=11389787","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T19:40:31Z","timestamp":1773862831000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11389787\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3663209","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}