arXiv (Cornell University) · 2021 · 14 citations · 201 references
ComputingComputer ScienceData ScienceArtificial IntelligenceCreativityMachine LearningCreativity AssessmentCreativity DevelopmentDeep LearningGenerative ModelingMeta-learningNeural NetworksAesthetic Evaluation ModelsArtist-ai CollaborationComputational Creativity EvaluationComputational Creativity In DesignCreativity In ArtGenerative Adversarial NetworksHuman-computer Co-creativityMachine Learning For Art
There is a growing interest in the area of machine learning and creativity. This survey presents an overview of the history and the state of the art of computational creativity theories, key machine learning techniques (including generative deep learning), and corresponding automatic evaluation methods. After presenting a critical discussion of the key contributions in this area, we outline the current research challenges and emerging opportunities in this field.
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