Video Frame Interpolation Based on Visibility Guidance and Texture Consistency Constraints

Video Frame Interpolation Based on Visibility Guidance and Texture Consistency Constraints | 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 Video Frame Interpolation Based on Visibility Guidance and Texture Consistency Constraints Jiayi Xu, Changsheng Gong, Qi Wang, Deyan Zhu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7044661/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 5 You are reading this latest preprint version Abstract Existing deep learning-based video frame interpolation methods often suffer from structural misalignment and detail loss in occluded regions or areas with complex textures. To address these issues, this paper proposes a novel video frame interpolation method, termed VGTC (Video Frame Interpolation based on Visibility Guidance and Texture Consistency Constraints), which enhances the accuracy of interpolated frames in occluded areas and improves global texture continuity. The visibility guidance module estimates pixel-wise visibility weights at the intermediate timestamp based on bidirectional motion cues, enabling adaptive fusion of temporal information and effectively reducing occlusion-induced artifacts. To further improve perceptual quality, a texture consistency constraint is introduced via a pseudo-supervised mechanism that enforces local structural similarity between the interpolated frame and its adjacent frames, preserving texture coherence and structural fidelity. Extensive experiments demonstrate the efficiency and effectiveness of the proposed method. Compared with DAIN, VGTC achieves nearly 10 times faster inference speed and improves PSNR by 0.38 dB on the Vimeo-Triplets-Test dataset, while producing more visually pleasing results, especially in regions with complex motion and high-frequency details. Video frame interpolation Motion compensation Texture consistency Census transform Pseudo-supervision Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 13 Jul, 2025 Reviewers invited by journal 13 Jul, 2025 Editor assigned by journal 07 Jul, 2025 Submission checks completed at journal 07 Jul, 2025 First submitted to journal 04 Jul, 2025 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. 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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-7044661","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":484748662,"identity":"4762835f-df8c-45b2-93ff-4091996a1f30","order_by":0,"name":"Jiayi Xu","email":"","orcid":"","institution":"Nanjing University of Aeronautics and Astronautics","correspondingAuthor":false,"prefix":"","firstName":"Jiayi","middleName":"","lastName":"Xu","suffix":""},{"id":484748663,"identity":"c740f184-eb4f-43f3-8594-63f4efd6a208","order_by":1,"name":"Changsheng Gong","email":"","orcid":"","institution":"Nanjing University of Aeronautics and Astronautics","correspondingAuthor":false,"prefix":"","firstName":"Changsheng","middleName":"","lastName":"Gong","suffix":""},{"id":484748664,"identity":"2422ed54-15a3-43fd-a942-5bc62cef1fd0","order_by":2,"name":"Qi Wang","email":"","orcid":"","institution":"Nanjing University of Aeronautics and Astronautics","correspondingAuthor":false,"prefix":"","firstName":"Qi","middleName":"","lastName":"Wang","suffix":""},{"id":484748665,"identity":"46af4a6c-cbd0-44c9-92ac-0a763312b4de","order_by":3,"name":"Deyan Zhu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAuUlEQVRIiWNgGAWjYFCCBAjFz8x8+AFpWiTb2dIMSNNicJ5HQYIoDfLtOQbMhW128saHeRgMGGpsoglqYex5Y8A8sy3ZcNth3gMPGI6l5TYQ0sIsAbSFt42ZcdthvgQDxobDhLWwQbTU229u5jGQIEoLD0TL4cQNzMRqkeB5VsDMc+548ozDwEBOIMYv8u3JQPPLqm37+w8ffvChxoawFgYGDvMfcHYCYeUgwP6AOHWjYBSMglEwcgEArjs3ZuY+QU0AAAAASUVORK5CYII=","orcid":"","institution":"Nanjing University of Aeronautics and Astronautics","correspondingAuthor":true,"prefix":"","firstName":"Deyan","middleName":"","lastName":"Zhu","suffix":""}],"badges":[],"createdAt":"2025-07-04 08:38:16","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7044661/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7044661/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":86740452,"identity":"d3e93bf2-c31b-490c-85ff-f9b4ff106294","added_by":"auto","created_at":"2025-07-15 06:40:16","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":836207,"visible":true,"origin":"","legend":"","description":"","filename":"VideoFrameInterpolationBasedonVisibilityGuidanceandTextureConsistencyConstraints.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7044661/v1_covered_ed3bc204-8f2e-4a11-8e65-f852092f18a0.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Video Frame Interpolation Based on Visibility Guidance and Texture Consistency Constraints","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":false,"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":"signal-image-and-video-processing","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"sivp","sideBox":"Learn more about [Signal, Image and Video Processing](http://link.springer.com/journal/11760)","snPcode":"11760","submissionUrl":"https://submission.nature.com/new-submission/11760/3","title":"Signal, Image and Video Processing","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Video frame interpolation, Motion compensation, Texture consistency, Census transform, Pseudo-supervision","lastPublishedDoi":"10.21203/rs.3.rs-7044661/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7044661/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eExisting deep learning-based video frame interpolation methods often suffer from structural misalignment and detail loss in occluded regions or areas with complex textures. 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