Title:	An automated Pipeline to bring NeRFs to the Industrial Metaverse An automated Pipeline to bring NeRFs to the Industrial Metaverse
Authors:	Schleise, Sabine Hahne, Uwe Lindinger, Jakob
Citation:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 157-166.
Issue Date:	2024
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57388
ISSN:	2464–4625 (online) 2464–4617 (print)
Keywords:	3D vidění;NeRF;průmyslová metaverze;ponoření;nervové vykreslování
Keywords in different language:	3D vision;NeRF;industrial metaverse;immersion;neural rendering
Abstract in different language:	The 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 users
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2024: Full Papers Proceedings

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