Sketch2VF: Sketch‐based flow design with conditional generative adversarial network
Zhongyuan Hu, Haoran Xie, Tsukasa Fukusato, Takahiro Satô, Takeo Igarashi · Computer Animation and Virtual Worlds · 2019
Abstract 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.