Restoring Intricate Miao Embroidery Patterns: A GAN-Based U-Net with Spatial-Channel Attention

Restoring Intricate Miao Embroidery Patterns: A GAN-Based U-Net with Spatial-Channel Attention | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Restoring Intricate Miao Embroidery Patterns: A GAN-Based U-Net with Spatial-Channel Attention Cheng Zhong, Xiaomin Yu, Huan Xia, Rongdong Xie, Qingyi Xu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4792728/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 14 Feb, 2025 Read the published version in The Visual Computer → Version 1 posted 10 You are reading this latest preprint version Abstract Traditional Miao embroidery features intricate pattern structures. The hand embroidery restoration techniques are extremely labor-intensive and time-consuming. In order to improve the efficiency of embroidery image restoration, this paper develops a framework for Miao embroidery pattern image restoration. The framework combines generative adversarial network with U-Net. The U-Net incorporates gated convolutions and spatial-channel attention mechanisms to enhance the model's ability to learn and reconstruct the intricate textures and structures of the embroidery. The proposed algorithm is compared with the current mainstream algorithms using PSNR, SSIM, and LPIPS metrics. The results show that this algorithm performs better than other methods in Miao embroidery restoration. The source code and datasets used in this study are available at Zenodo (DOI: 10.5281/zenodo.12759273 ). GAN U-Net Miao embroidery Gated convolutions CBAM Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 14 Feb, 2025 Read the published version in The Visual Computer → Version 1 posted Editorial decision: Revision requested 27 Oct, 2024 Reviews received at journal 26 Oct, 2024 Reviewers agreed at journal 23 Oct, 2024 Reviewers agreed at journal 23 Oct, 2024 Reviews received at journal 03 Sep, 2024 Reviewers agreed at journal 09 Aug, 2024 Reviewers invited by journal 07 Aug, 2024 Editor assigned by journal 24 Jul, 2024 Submission checks completed at journal 24 Jul, 2024 First submitted to journal 24 Jul, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4792728","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":339160380,"identity":"39e2fdbd-600c-4e34-9322-97d680872784","order_by":0,"name":"Cheng Zhong","email":"","orcid":"","institution":"Guizhou University of Finance and Economics","correspondingAuthor":false,"prefix":"","firstName":"Cheng","middleName":"","lastName":"Zhong","suffix":""},{"id":339160382,"identity":"e4039dc3-bac5-4442-a8e0-dbcfbc79c115","order_by":1,"name":"Xiaomin Yu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABB0lEQVRIie3PMUsDMRTA8RcK6RLs+gbx/AgpHa6Fil8lQfCWUxxvKoKY6eh8U/0KmQS3HAGnK13vuMUiODnodkIRU3ES76qbQ/4QkiE/8gLg8/3DOJBLt6FbDGyT4AHtX5lfEPFFoBiP9ti92EG2fd5h0CMqkQuMDztJ2LfX+q0ZB+FgmdsLipGCGKBJblvJJJWqSgUO77JzYTOGZwqWhqRF3T6YkapkAokuGTcMHSFz4SbsIKu1qjYCj/WqcIRjRHuMd5NSqtq9IrWJuXUHQekOMsnWqt4/xRNdxjzPDA4VoyLv+ks4iJ6q5+nsyA02enl9nwXBzWP+0CTt5OfMH+/7fD6f71sfdNJdYSAWFgYAAAAASUVORK5CYII=","orcid":"","institution":"Guizhou University of Finance and Economics","correspondingAuthor":true,"prefix":"","firstName":"Xiaomin","middleName":"","lastName":"Yu","suffix":""},{"id":339160384,"identity":"ed2111d2-9988-4801-bc51-354b9aa2d397","order_by":2,"name":"Huan Xia","email":"","orcid":"","institution":"Guizhou University of Finance and Economics","correspondingAuthor":false,"prefix":"","firstName":"Huan","middleName":"","lastName":"Xia","suffix":""},{"id":339160385,"identity":"9217825b-1905-4095-b08c-34fd66f034b3","order_by":3,"name":"Rongdong Xie","email":"","orcid":"","institution":"Guizhou University of Finance and Economics","correspondingAuthor":false,"prefix":"","firstName":"Rongdong","middleName":"","lastName":"Xie","suffix":""},{"id":339160386,"identity":"78013709-b657-4f4b-81af-e5b118594a91","order_by":4,"name":"Qingyi Xu","email":"","orcid":"","institution":"Guizhou Minzu University","correspondingAuthor":false,"prefix":"","firstName":"Qingyi","middleName":"","lastName":"Xu","suffix":""}],"badges":[],"createdAt":"2024-07-24 06:10:35","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4792728/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4792728/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00371-025-03821-z","type":"published","date":"2025-02-14T15:57:37+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":76487564,"identity":"0dbe9940-e7f0-4c08-ba3d-e136cccf724a","added_by":"auto","created_at":"2025-02-17 16:09:13","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":14559381,"visible":true,"origin":"","legend":"","description":"","filename":"msp1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4792728/v1_covered_3bbf53b6-2dc0-41f0-9d40-466c21ea0f6a.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Restoring Intricate Miao Embroidery Patterns: A GAN-Based U-Net with Spatial-Channel Attention","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"the-visual-computer","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"tvcj","sideBox":"Learn more about [The Visual Computer](http://link.springer.com/journal/371)","snPcode":"371","submissionUrl":"https://submission.nature.com/new-submission/371/3","title":"The Visual Computer","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"GAN, U-Net, Miao embroidery, Gated convolutions, CBAM","lastPublishedDoi":"10.21203/rs.3.rs-4792728/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4792728/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eTraditional Miao embroidery features intricate pattern structures. 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