Advanced Search
Liu Can, Lai Chufan, Jiang Ruike, Li Yanda, Yang Changhe, Lin Zhixian, Wei Datong, Yuan Xiaoru. Visualization Driven by Deep Learning[J]. Journal of Computer-Aided Design & Computer Graphics, 2020, 32(10): 1537-1548. DOI: 10.3724/SP.J.1089.2020.18492
Citation: Liu Can, Lai Chufan, Jiang Ruike, Li Yanda, Yang Changhe, Lin Zhixian, Wei Datong, Yuan Xiaoru. Visualization Driven by Deep Learning[J]. Journal of Computer-Aided Design & Computer Graphics, 2020, 32(10): 1537-1548. DOI: 10.3724/SP.J.1089.2020.18492

Visualization Driven by Deep Learning

  • In recent years,deep learning technology developed rapidly with sufficient computing ability.In the visualization and visual analysis process,some steps that require human participation can be replaced and solved by data-driven methods.This article is based on the division of classic visualization and visual analysis process,including construction,interaction,evaluation,and other aspects of visualization.This article reviewed the parts that can use deep learning technology,carried out a detailed and systematic discussion of related research,discussed the technical benefit brought by the combination of deep learning technology and visualization,and deeply analyzed the prospects of the development of visualization driven by deep learning.
  • loading

Catalog

    Turn off MathJax
    Article Contents

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return