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Aesthetical issues of Leonardo Da Vinci's and Pablo Picasso's paintings with stochastic evaluation
A physical process is characterized as complex when it is difficult to analyze or explain in a
simple way. The complexity within an art painting is expected to be high, possibly …
simple way. The complexity within an art painting is expected to be high, possibly …
Evolutionary generative models
In the last decade, generative models have seen widespread use for their ability to generate
diverse artefacts in an increasingly simple way. Historically, the use of evolutionary …
diverse artefacts in an increasingly simple way. Historically, the use of evolutionary …
Systematizing creativity: a computational view
Creativity is a long-cherished and widely studied aspect of human behavior that allows us to
reinvent the familiar and to imagine the new. Computational Creativity (CC) is a recent but …
reinvent the familiar and to imagine the new. Computational Creativity (CC) is a recent but …
A framework for description, analysis and comparison of creative systems
GA Wiggins - … creativity: The philosophy and engineering of …, 2019 - Springer
Abstract I summarise and attempt to clarify some concepts presented in and arising from
Margaret Boden's descriptive hierarchy of creativity (Boden, MA, The Creative Mind: Myths …
Margaret Boden's descriptive hierarchy of creativity (Boden, MA, The Creative Mind: Myths …
Crafting generative art through genetic improvement: Managing creative outputs in diverse fitness landscapes
Generative art is a rules-driven approach to creating artistic outputs in various mediums. For
example, a fluid simulation can govern the flow of colored pixels across a digital display or a …
example, a fluid simulation can govern the flow of colored pixels across a digital display or a …
[PDF][PDF] From pixels to metal: AI-empowered numismatic art
This paper describes our response to a unique challenge presented by the Portuguese
National Press-Mint: to use Artificial Intelligence to design a commemorative coin that …
National Press-Mint: to use Artificial Intelligence to design a commemorative coin that …
GP-based generative adversarial models
We explore the use of Artificial Neural Network (ANN)-guided Genetic Programming (GP) to
generate images that the guiding network classifies as belonging to a specific class. The …
generate images that the guiding network classifies as belonging to a specific class. The …
Exploring expression-based generative adversarial networks
Before the advent of Generative Adversarial Networks (GANs) in 2014, Evolutionary
Computation approaches made up the majority of the state of art for image generation. Such …
Computation approaches made up the majority of the state of art for image generation. Such …
TGPGAN: towards expression-based generative adversarial networks
Before the advent of Generative Adversarial Networks (GANs), Evolutionary Computation
approaches made up the majority of the state of the art for image generation. Adversarial …
approaches made up the majority of the state of the art for image generation. Adversarial …
Evolutionary Art and Design in the Machine Learning Era
Evolutionary Art and Design in the Machine Learning Era | Proceedings of the Genetic and
Evolutionary Computation Conference Companion skip to main content ACM Digital Library …
Evolutionary Computation Conference Companion skip to main content ACM Digital Library …