MSV-Net: Visual Super-Resolution Reconstruction for Scientific Simulated Data of Mixed Surface-Volume

High fidelity visual analysis usually relies on high-resolution grid data of coupled geometric models generated by large-scale scientific simulation, which brings great challenges to data storage and smooth interaction. Therefore, this paper proposes a super-resolution reconstruction method for larg...

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Autore principale:	CAO Siming, WANG Xiaohua, WANG Hongkun, CAO Yi
Natura:	Artigo
Lingua:	Chinês
Pubblicazione:	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2023-06-01
Serie:	Jisuanji kexue yu tansuo
Soggetti:	scientific data visualization; hybrid rendering; large-scale simulation; super-resolution reconstruction;  deep learning
Accesso online:	http://fcst.ceaj.org/fileup/1673-9418/PDF/2112069.pdf
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