Cited By
View all- Xie NZhao TYang YShen H(2019)Web-based SBLR method of multimedia tools for computer-aided drawingMultimedia Tools and Applications10.1007/s11042-018-5949-x78:1(799-816)Online publication date: 1-Jan-2019
Artist agent: a reinforcement learning approach to automatic stroke generation in oriental ink painting
Pages 1059 - 1066
Abstract
Oriental ink painting, called Sumi-e, is one of the most appealing painting styles that has attracted artists around the world. Major challenges in computer-based Sumi-e simulation are to abstract complex scene information and draw smooth and natural brush strokes. To automatically generate such strokes, we propose to model a brush as a reinforcement learning agent, and learn desired brush-trajectories by maximizing the sum of rewards in the policy search framework. We also elaborate on the design of actions, states, and rewards tailored for a Sumi-e agent. The effectiveness of our proposed approach is demonstrated through simulated Sumi-e experiments.
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- PASCAL2 - Pattern Analysis, Statistical Modelling and Computational Learning
- IBMR: IBM Research
- NSF
- Microsoft Research: Microsoft Research
- Facebook: Facebook
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Omnipress
Madison, WI, United States
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Published: 26 June 2012
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View all- Xie NZhao TYang YShen H(2019)Web-based SBLR method of multimedia tools for computer-aided drawingMultimedia Tools and Applications10.1007/s11042-018-5949-x78:1(799-816)Online publication date: 1-Jan-2019