Artificial Intelligence for Art Creation and Understanding

This book covers state-of-the-art AI technologies for art creation, understanding, and evaluation. Each chapter providing an entry point for readers, presenting SOTA AI technologies for art creation and understanding and covering the fascinating combination of AI with traditional Chinese art.

---

AI-Generated Content (AIGC) is a revolutionary engine for digital content generation. In the area of art, AI has achieved most remarkable advancements. AI is capable of not only creating paintings or music comparable to human masterpieces, but also understanding and appreciating art works. For both professionals and amateurs, AI is an enabling tool and a companion to open and enjoy a new world of art.

This book aims to present to the readers the state-of-the-art AI technologies for art creation, understanding, and evaluation. The deliberately chosen contents include a survey on cross-modal generation of visual and auditory content, explainable AI and music, AI enabled robotic theatre for Chinese folk art, AI for ancient Chinese music restoration and reproduction, AI for brainwave opera, artistic text style transfer, data-driven automatic choreography, Human-AI collaborative sketching, personalized music recommendation and generation based on emotion and memory (MemoMusic), understanding music and emotion from brain, music question answering, emotional quality evaluation for generated music, and AI for image aesthetic evaluation.

The key features of the book is as follows:

- AI for Art is a fascinating cross-disciplinary field for the academic community and the public as well.

- Each chapter is a relatively independent but rather interesting topic, which provides an entry for corresponding readers.

- It presents SOTA AI technologies for art creation and understanding.

- The artistry and appreciation of the book is great. For example, the combination of AI with traditional Chinese art is very fascinating.

This book is dedicated to the international cross-disciplinary AI Art community composed of professors, students, researchers, and engineers from AI (machine learning, computer vision, multimedia computing, affective computing, robotics, etc.), art (painting, music, dance, fashion, design, etc.), cognition science, and psychology. Also, general audience can also benefit from reading part of the book.