Research on the application of lacquer painting styletransfer recognition models in international arteducation

Research on the application of lacquer painting styletransfer recognition models in international arteducation | 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 Article Research on the application of lacquer painting styletransfer recognition models in international arteducation Wenjia Jiang, Tao Ouyang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7461034/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Amid growing demand for intelligent and cross-disciplinary educational technologies, this research addresses the integration ofcomputational intelligence into culturally grounded artistic instruction. In line with the journal’s focus on digital education andapplied computational sciences, this study explores a novel approach to style recognition through symbolic-neural models,aimed at enhancing interactive, learner-centric art education. Prior work in this domain largely relies on convolutional neuralnetworks trained on narrow datasets, often lacking semantic understanding of stylistic evolution and learner cognition, whichlimits their adaptability and depth. To overcome these limitations, we introduce a unified framework built upon the AestheticConcept Graph Transformer (ACGT) and the Curatorial Alignment Strategy (CAS). ACGT leverages symbolic-artistic graphstructures and multi-modal attention to model both perceptual cues and domain semantics, while CAS refines outputs throughdomain-specific constraints and learner-tailored optimization. This joint architecture excels in interpretive reasoning, styleclassification, and critique evaluation, ensuring pedagogical alignment and robust semantic integrity. Experimental resultsdemonstrate that the proposed model outperforms traditional baselines in both accuracy and interpretability, establishing astrong foundation for intelligent educational systems that incorporate symbolic reasoning, digital pedagogy, and human-mediainteraction in cross-cultural art contexts. Humanities/Cultural and media studies Social science/Cultural and media studies Physical sciences/Mathematics and computing Symbolic-Neural Integration Digital Education Computer Vision Human-Media Interaction Interpretive Modeling Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-7461034","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":515397896,"identity":"00b44a55-a1e6-476a-b759-b1740b9348f3","order_by":0,"name":"Wenjia Jiang","email":"","orcid":"","institution":"Huaqiao University","correspondingAuthor":false,"prefix":"","firstName":"Wenjia","middleName":"","lastName":"Jiang","suffix":""},{"id":515397897,"identity":"1d6ee98d-05c9-45b2-87c9-d69d3ca29e91","order_by":1,"name":"Tao Ouyang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9klEQVRIiWNgGAWjYBAC9gYQeQDMZnzwAUjyMTAw49XCcwChhdlwBgODBBspWtiEeYjSwn7G7MOPMzaJG273HmO2qThcx8befNiAocYmGqcWnhzjmT030hI33DmX9jjnzGEJNp5jyQkMx9JyG3BosWfIMWbg+XDY2OBGjrlxbhtQi0SO8QHGhsM4tfDwvzFm/PPhP0iLmbQlUVqACph5bhyQA2thhGpJwK/lWTGzzJlkOckbOcaGPWfSJduAfjFIwOMXHv7kzYxvjtnx8N3IMXzwo8Kanx8YYhIfamxwaoEDhQPIvARCykFAnqCho2AUjIJRMGIBAI5bVtLqdoxCAAAAAElFTkSuQmCC","orcid":"","institution":"Sultan Idris Education University","correspondingAuthor":true,"prefix":"","firstName":"Tao","middleName":"","lastName":"Ouyang","suffix":""}],"badges":[],"createdAt":"2025-08-26 09:08:28","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7461034/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7461034/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":92701999,"identity":"2c744be6-1bcb-4225-a510-b2b8dad71502","added_by":"auto","created_at":"2025-10-03 08:39:04","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":517685,"visible":true,"origin":"","legend":"","description":"","filename":"ScientificReports.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7461034/v1_covered_c81120f9-6181-49d6-a0aa-09c74e542752.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on the application of lacquer painting styletransfer recognition models in international arteducation","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Symbolic-Neural Integration, Digital Education, Computer Vision, Human-Media Interaction, Interpretive Modeling","lastPublishedDoi":"10.21203/rs.3.rs-7461034/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7461034/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Amid growing demand for intelligent and cross-disciplinary educational technologies, this research addresses the integration ofcomputational intelligence into culturally grounded artistic instruction. 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