Browsing by Subject "I.2.4 [Artificial Intelligence]"

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    • Creating New Chinese Fonts based on Manifold Learning and Adversarial Networks 

      Guo, Yuan; Lian, Zhouhui; Tang, Yingmin; Xiao, Jianguo (The Eurographics Association, 2018)
      The design of fonts, especially Chinese fonts, is known as a tough task that requires considerable time and professional skills. In this paper, we propose a method to easily generate Chinese font libraries in new styles ...

    • The Situation Universe: Visualizing the Semantics of Integrated Data Structures 

      Karer, Benjamin; Fernández-Prieto, Diana; Hagen, Hans (The Eurographics Association, 2017)
      The efficient extraction and communication of information in heterogeneous data domains is a major challenge in the context of the ongoing digitalization efforts in industry and in the public sector. The heterogeneity of ...