Feb. 13, 2024, 5:45 a.m. | Marcus Basalla Johannes Schneider Jan vom Brocke

cs.LG updates on arXiv.org arxiv.org

While the potential of deep learning (DL) for automating simple tasks is already well explored, recent research has started investigating the use of deep learning for creative design, both for complete artifact creation and supporting humans in the creation process. In this paper, we use insights from computational creativity to conceptualize and assess current applications of generative deep learning in creative domains identified in a literature review. We highlight parallels between current systems and different models of human creativity as …

artifact assessment computational creative creativity cs.ai cs.lg deep learning design humans insights paper process research simple tasks

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