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Creativity and Machine Learning: A Survey
March 21, 2024, 4:43 a.m. | Giorgio Franceschelli, Mirco Musolesi
cs.LG updates on arXiv.org arxiv.org
Abstract: 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.
abstract art arxiv computational creativity cs.ai cs.cy cs.lg deep learning evaluation generative history key machine machine learning machine learning techniques overview presenting state state of the art survey type
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