Sketch2VF: Sketch‐based flow design with conditional generative adversarial network
Sketch2VF: Sketch‐based flow design with conditional generative adversarial network
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DOI：
10.1002/cav.1889
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发表时间：
2019-05
影响因子：
1.1
通讯作者：
Zhongyuan Hu;Haoran Xie;Tsukasa Fukusato;Takahiro Sato;T. Igarashi
中科院分区：
文献类型：
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作者：
Zhongyuan Hu;Haoran Xie;Tsukasa Fukusato;Takahiro Sato;T. Igarashi
我们提出了一种交互式用户界面，以对基于素描的流体设计，尤其是对人类草图的感知理解。固定速度字段来自草图输入。网络模型是用手绘速度和相应的2D速度字段的。在提议的系统中，并确认所提出的接口对2D流体设计有效，并且该系统根据用户输入实现了良好的结果。
We present an interactive user interface to support sketch‐based fluid design with a perceptual understanding of human sketches. In particular, the proposed system generates a 2D fluid animation from hand‐drawn sketches. The proposed system utilizes a conditional generative adversarial network model to generate stationary velocity fields from a sketch input. The network model is trained with hand‐drawn strokes and corresponding 2D velocity fields. On the basis of the generated velocity field, the system calculates fluid dynamics using a semi‐Lagrangian method. We ran a user study of the proposed system and confirmed that the proposed interface is effective for a 2D fluid design and that the system achieves good results based on user input.