JOURNAL ARTICLE

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

Zhongyuan HuHaoran XieTsukasa FukusatoTakahiro SatôTakeo Igarashi

Year: 2019 Journal:   Computer Animation and Virtual Worlds Vol: 30 (3-4)   Publisher: Wiley

Abstract

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.

Keywords:
Sketch Computer science Generative grammar Animation Interface (matter) Flow (mathematics) Field (mathematics) Vector field Adversarial system Fluid dynamics Artificial intelligence Theoretical computer science Human–computer interaction Algorithm Computer graphics (images) Mechanics

Metrics

28
Cited By
10.84
FWCI (Field Weighted Citation Impact)
27
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design
Human Motion and Animation
Physical Sciences →  Engineering →  Control and Systems Engineering
Music Technology and Sound Studies
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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