Sketch2VF: Sketch-based flow design with conditional generative adversarial network

摘要

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.