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Micro-Cells Enabling Spatio-Angular Joint Attention for High-Resolution Light Field Editing

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dc.contributor.authorKim, Gwon-Jung-
dc.contributor.authorRhee, Chae Eun-
dc.date.accessioned2025-01-02T09:02:02Z-
dc.date.available2025-01-02T09:02:02Z-
dc.date.issued2024-11-
dc.identifier.issn2169-3536-
dc.identifier.issn2169-3536-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/204231-
dc.description.abstractLight Field (LF) processing is a critical step in advancing immersive experiences beyond two-dimensional (2D) images. While LF-based technology facilitates a smooth transition from 2D to three-dimensional (3D) media, processing LFs composed of numerous images remains challenging. Most existing research has provided only limited processing capabilities for low-resolution LFs. For instance, LF editing typically offers basic functions like color changes and object removal. This paper proposes micro-cell-based processing for spatially and angularly large-scale LFs. By partitioning and rearranging the LF into micro-cells, which are then used as input for a vision transformer (ViT), we enable spatio-angular joint attention that significantly enhances performance. The local attention applied to small-sized micro-cells allows for high-resolution LF processing without excessive computational costs. This paper utilizes this combination of micro-cells and the ViT for LF editing applications. Experimental results demonstrate that the proposed LF editing system delivers exceptional performance both quantitatively and qualitatively, enabling high-resolution LF processing with a variety of editing functions.-
dc.format.extent12-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleMicro-Cells Enabling Spatio-Angular Joint Attention for High-Resolution Light Field Editing-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/ACCESS.2024.3504730-
dc.identifier.scopusid2-s2.0-85210288416-
dc.identifier.wosid001367268100002-
dc.identifier.bibliographicCitationIEEE Access, v.12, pp 175817 - 175828-
dc.citation.titleIEEE Access-
dc.citation.volume12-
dc.citation.startPage175817-
dc.citation.endPage175828-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordPlusCell culture-
dc.subject.keywordPlusMicrooptics-
dc.subject.keywordAuthorGeometry-
dc.subject.keywordAuthorSpatial resolution-
dc.subject.keywordAuthorImage resolution-
dc.subject.keywordAuthorTransformers-
dc.subject.keywordAuthorLight fields-
dc.subject.keywordAuthorThree-dimensional displays-
dc.subject.keywordAuthorScalability-
dc.subject.keywordAuthorMedia-
dc.subject.keywordAuthorImage color analysis-
dc.subject.keywordAuthorDeep learning-
dc.subject.keywordAuthorattention mechanisms-
dc.subject.keywordAuthorimage synthesis-
dc.subject.keywordAuthorimage reconstruction-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/10763504-
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