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Evolutionary Image Transition and Painting Using Random Walks
Evolutionary Computation ( IF 6.8 ) Pub Date : 2020-12-01 , DOI: 10.1162/evco_a_00270
Aneta Neumann 1 , Bradley Alexander 1 , Frank Neumann 1
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We present a study demonstrating how random walk algorithms can be used for evolutionary image transition. We design different mutation operators based on uniform and biased random walks and study how their combination with a baseline mutation operator can lead to interesting image transition processes in terms of visual effects and artistic features. Using feature-based analysis we investigate the evolutionary image transition behaviour with respect to different features and evaluate the images constructed during the image transition process. Afterwards, we investigate how modifications of our biased random walk approaches can be used for evolutionary image painting. We introduce an evolutionary image painting approach whose underlying biased random walk can be controlled by a parameter influencing the bias of the random walk and thereby creating different artistic painting effects.

中文翻译:

使用随机游走的进化图像过渡和绘画

我们提出了一项研究,展示了如何将随机游走算法用于进化图像转换。我们基于均匀和有偏的随机游走设计不同的变异算子,并研究它们与基线变异算子的结合如何在视觉效果和艺术特征方面导致有趣的图像转换过程。使用基于特征的分析,我们研究了关于不同特征的进化图像转换行为,并评估在图像转换过程中构建的图像。之后,我们研究了如何将我们的偏置随机游走方法的修改用于进化图像绘制。
更新日期:2020-12-01
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