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DC poleHodnotaJazyk
dc.contributor.authorSchleise, Sabine
dc.contributor.authorHahne, Uwe
dc.contributor.authorLindinger, Jakob
dc.contributor.editorSkala, Václav
dc.date.accessioned2024-07-28T18:25:03Z-
dc.date.available2024-07-28T18:25:03Z-
dc.date.issued2024
dc.identifier.citationWSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 157-166.en
dc.identifier.issn2464–4625 (online)
dc.identifier.issn2464–4617 (print)
dc.identifier.urihttp://hdl.handle.net/11025/57388
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subject3D viděnícs
dc.subjectNeRFcs
dc.subjectprůmyslová metaverzecs
dc.subjectponořenícs
dc.subjectnervové vykreslovánícs
dc.titleAn automated Pipeline to bring NeRFs to the Industrial Metaversecs_CZ
dc.titleAn automated Pipeline to bring NeRFs to the Industrial Metaverseen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe Industrial Metaverse offers new opportunities in various industrial sectors, such as product development, collaboration, sales and marketing. It relies on rendering 3D scenes of industrial plants, factories, and machines that are viewed by multiple human observers in various industrial applications. Creating these 3D scenes requires either elaborate 3D modeling efforts or complex 3D reconstruction methods. Both approaches require expensive hardware and highly trained individuals to create photo-realistic results. To overcome these limitations, we offer an end-to-end pipeline that generates photo-realistic 3D scene renderings from video input using NeRF (neural radiance fields). Our tool automates the entire process, resulting in remarkable efficiency gains. It reduces the creation time from days to minutes, even for untrained usersen
dc.subject.translated3D visionen
dc.subject.translatedNeRFen
dc.subject.translatedindustrial metaverseen
dc.subject.translatedimmersionen
dc.subject.translatedneural renderingen
dc.identifier.doihttps://doi.org/10.24132/10.24132/CSRN.3401.17
dc.type.statusPeer revieweden
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  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
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  5. WSCG 2024: Full Papers Proceedings