40 / 2023-08-29 19:42:23
Content-Conditioned Generation of Stylized Free-hand Sketches
Generative adversarial networks,Free-hand Sketches,style imitation
终稿
Jiajun Liu / Xidian University
Siyuan Wang / Xidian University
Guangming Zhu / Xidian University
Liang Zhang / Xidian University
Ning Li / China Institute of Marine Technology & Economy
Eryang Gao / China Institute of Marine Technology & Economy
In recent years, the recognition of free-hand sketches has remained a popular task. However, in some special fields such as the military field, free-hand sketches are difficult to sample on a large scale. In this paper, we propose a novel adversarial generative network that can accurately generate realistic free-hand sketches with various styles. We explore the performance of the model in style imitation, scalability (style extension, class extension), and further demonstrate with qualitative and quantitative evaluations our advantages in visual quality, content accuracy, and style imitation on SketchIME.
重要日期
  • 会议日期

    11月02日

    2023

    11月04日

    2023

  • 12月15日 2023

    初稿截稿日期

  • 12月20日 2023

    注册截止日期

主办单位
IEEE Instrumentation and Measurement Society
Xidian University
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