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.

翻译：随着机器学习与创造力交叉领域的兴趣日益增长，本文综述了计算创造力理论的历史与现状，涵盖关键机器学习技术（包括生成式深度学习）及相应的自动评估方法。在深入剖析该领域核心贡献的基础上，我们勾勒出当前的研究挑战与新兴机遇。