Creativity and Machine Learning: A Survey
arXiv:2104.02726v766 citations
Originality Synthesis-oriented
AI Analysis
This is an incremental survey for researchers interested in machine learning and creativity.
The survey provides an overview of computational creativity theories, machine learning techniques, and evaluation methods, outlining current challenges and opportunities in the field.
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.