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Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts. (arXiv:2109.08857v2 [cs.NE] UPDATED)
Web: http://arxiv.org/abs/2109.08857
Jan. 31, 2022, 2:11 a.m. | Yingtao Tian, David Ha
cs.LG updates on arXiv.org arxiv.org
Evolutionary algorithms have been used in the digital art scene since the
1970s. A popular application of genetic algorithms is to optimize the
procedural placement of vector graphic primitives to resemble a given painting.
In recent years, deep learning-based approaches have also been proposed to
generate procedural drawings, which can be optimized using gradient descent. In
this work, we revisit the use of evolutionary algorithms for computational
creativity. We find that modern evolution strategies (ES) algorithms, when
tasked with the …
More from arxiv.org / cs.LG updates on arXiv.org
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