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SmartPaint:a co-creative drawing system based on generative adversarial networks

Frontiers of Information Technology & Electronic Engineering 2019年第12期20卷 1644-1656页

作者： Lingyun SUN Pei CHEN Wei XIANG Peng CHEN Wei-yue GAO Ke-jun ZHANG Key Laboratory of Design Intelligence and Digital Creativity of Zhejiang Province Hangzhou 310027China State Key Lab of CAD&CG Zhejiang UniversityHangzhou 310058China Alibaba-Zhejiang University Joint Institute of Frontier Technologies Hangzhou 310027China

Artificial intelligence(AI) has played a significant role in imitating and producing large-scale designs such as e-commerce banners. However, it is less successful at creative and collaborative design outputs. Most humans express their ideas as rough sketches, and lack the professional skills to complete pleasing paintings. Existing AI approaches have failed to convert varied user sketches into artistically beautiful paintings while preserving their semantic concepts. To bridge this gap, we have developed Smart Paint, a co-creative drawing system based on generative adversarial networks(GANs), enabling a machine and a human being to collaborate in cartoon landscape painting. Smart Paint trains a GAN using triples of cartoon images, their corresponding semantic label maps, and edge detection maps. The machine can then simultaneously understand the cartoon style and semantics, along with the spatial relationships among the objects in the landscape images. The trained system receives a sketch as a semantic label map input, and automatically synthesizes its edge map for stable handling of varied sketches. It then outputs a creative and fine painting with the appropriate style corresponding to the human’s sketch. Experiments confirmed that the proposed Smart Paint system successfully generates high-quality cartoon paintings.

关键词： co-creative drawing Deep learning Image generation

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