预订 Artificial Intelligence for Art Creation and Understanding
人工智能艺术创作与理解
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图书简介
AI-Generated Content (AIGC) is a revolutionary engine for digital content generation. In the area of art, AI has achieved remarkable advancements. AI is capable of not only creating paintings or music comparable to human masterpieces, but it also understands and appreciates artwork. For professionals and amateurs, AI is an enabling tool and an opportunity to enjoy a new world of art.
This book aims to present the state-of-the-art AI technologies for art creation, understanding, and evaluation. The contents include a survey on cross-modal generation of visual and auditory content, explainable AI and music, AI-enabled robotic theater 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 the brain, music question answering, emotional quality evaluation for generated music, and AI for image aesthetic evaluation.
The key features of the book are as follows:
AI for Art is a fascinating cross-disciplinary field for the academic community as well as the public.Each chapter is an independent 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 wide-ranging–for example, the combination of AI with traditional Chinese art.
This book is dedicated to the international cross-disciplinary AI Art community: professors, students, researchers, and engineers from AI (machine learning, computer vision, multimedia computing, affective computing, robotics, etc.), art (painting, music, dance, fashion, design, etc.), cognitive science, and psychology. General audiences can also benefit from this book.
Editors
Luntian Mou received the Ph.D. degree in computer science from the University of Chinese Academy of Sciences, China in 2012. He accomplished as a postdoctoral Researcher with the Institute of Digital Media, Peking University, China in 2014. From 2019 to 2020, he served as a visiting scholar at Donald Bren School of Information and Computer Sciences, University of California, Irvine, USA. He is currently an associate professor with the Beijing Institute of Artificial Intelligence, Beijing University of Technology, China. His research interests include artificial intelligence, machine learning, pattern recognition, affective computing, multimedia computing, and brain-like computing. He has published on renowned journals such as TAFFC, TMM, TOMM, and ESWA. He is the recipient of Beijing Municipal Science and Technology Advancement Award, IEEE Outstanding Contribution to Standardization Award, and AVS Outstanding Contribution on 15thAnniversary Award. He serves as a guest editor for Machine Intelligence Research, and a reviewer for many important international journals and conferences such as TIP, TAFFC, TCSVT, TITS, AAAI, etc. He is a senior member of IEEE and CCF, and a member of ACM. He is the chair of the organizing committee of the 2023 CSIG Conference on Emotional Intelligence (CEI). He is the founding chair of IEEE Workshop on Artificial Intelligence for Art Creation (AIART).
内容简介：
生成式人工智能（AIGC）是数字内容生成的革命性引擎。在艺术领域，人工智能取得了令人瞩目的进步。人工智能不仅能够创作出媲美人类杰作的绘画或音乐，还能理解和欣赏艺术作品。对于专业人士和业余爱好者来说，人工智能不仅是一个赋能工具，也是一个享受艺术新世界的机会。
本书旨在介绍用于艺术创作、理解和评价的最先进的人工智能技术。内容包括视觉和听觉内容的跨模态生成、可解释的人工智能与音乐、中国民间艺术智能机器人剧场、中国古代音乐的修复和再现、人工智能用于脑波戏剧创作、艺术文本风格迁移、数据驱动的自动编舞、人机协作素描、基于情感和回忆的个性化音乐推荐和生成（MemoMusic）、从脑电理解音乐和情感、音乐问答、生成音乐的情感质量评价以及智能图像审美评价。
本书主要特点：
·对于学术界和公众而言，人工智能艺术是一个引人入胜的跨学科领域
·每一章都是一个独立的有趣话题，为相应的读者提供了一个切入点
·本书介绍了用于艺术创作和理解的 SOTA 人工智能技术
·本书的艺术性和欣赏性非常广泛，例如人工智能与中国传统艺术的结合
·本书献给国际跨学科人工智能艺术界：来自人工智能（机器学习、计算机视觉、多媒体计算、情感计算、机器人等）、艺术（绘画、音乐、舞蹈、时尚、设计等）、认知科学和心理学的教授、学生、研究人员和工程师。普通读者也开卷有益。
编者介绍：
牟伦田于2012年获得中国科学院大学计算机科学博士学位。2014年在北京大学数字媒体研究所博士后出站。2019年至2020年在加州大学欧文分校Donald Bren信息与计算机科学学院任访问学者。他目前是北京工业大学信息科学技术学院、北京人工智能研究院的副教授，研究兴趣包括人工智能、多媒体计算、情感计算、智能艺术和类脑计算。他的研究成果发表在TAFFC、TMM、TOMM和ESWA等领域顶刊上，是北京市科技进步二等奖、IEEE标准制定杰出贡献奖和AVS 15周年杰出贡献奖的获得者。他是MIR的客座编辑，是TIP、TAFFC、TCSVT、TITS、AAAI等重要国际期刊和会议的审稿人。他是IEEE和CCF的高级会员、ACM会员、MPEG中国代表团专家。2023年CSIG情感智能会议（CEI）组委会主席；IEEE人工智能与艺术创作国际研讨会（AIART）的创始主席。
The key features of the book are as follows:
AI for Art is a fascinating cross-disciplinary field for the academic community as well as the public.Each chapter is an independent 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 wide-ranging–for example, the combination of AI with traditional Chinese art.
This book is dedicated to the international cross-disciplinary AI Art community: professors, students, researchers, and engineers from AI (machine learning, computer vision, multimedia computing, affective computing, robotics, etc.), art (painting, music, dance, fashion, design, etc.), cognitive science, and psychology. General audiences can also benefit from this book.
Editors
Luntian Mou received the Ph.D. degree in computer science from the University of Chinese Academy of Sciences, China in 2012. He accomplished as a postdoctoral Researcher with the Institute of Digital Media, Peking University, China in 2014. From 2019 to 2020, he served as a visiting scholar at Donald Bren School of Information and Computer Sciences, University of California, Irvine, USA. He is currently an associate professor with the Beijing Institute of Artificial Intelligence, Beijing University of Technology, China. His research interests include artificial intelligence, machine learning, pattern recognition, affective computing, multimedia computing, and brain-like computing. He has published on renowned journals such as TAFFC, TMM, TOMM, and ESWA. He is the recipient of Beijing Municipal Science and Technology Advancement Award, IEEE Outstanding Contribution to Standardization Award, and AVS Outstanding Contribution on 15thAnniversary Award. He serves as a guest editor for Machine Intelligence Research, and a reviewer for many important international journals and conferences such as TIP, TAFFC, TCSVT, TITS, AAAI, etc. He is a senior member of IEEE and CCF, and a member of ACM. He is the chair of the organizing committee of the 2023 CSIG Conference on Emotional Intelligence (CEI). He is the founding chair of IEEE Workshop on Artificial Intelligence for Art Creation (AIART).
内容简介：
生成式人工智能（AIGC）是数字内容生成的革命性引擎。在艺术领域，人工智能取得了令人瞩目的进步。人工智能不仅能够创作出媲美人类杰作的绘画或音乐，还能理解和欣赏艺术作品。对于专业人士和业余爱好者来说，人工智能不仅是一个赋能工具，也是一个享受艺术新世界的机会。
本书旨在介绍用于艺术创作、理解和评价的最先进的人工智能技术。内容包括视觉和听觉内容的跨模态生成、可解释的人工智能与音乐、中国民间艺术智能机器人剧场、中国古代音乐的修复和再现、人工智能用于脑波戏剧创作、艺术文本风格迁移、数据驱动的自动编舞、人机协作素描、基于情感和回忆的个性化音乐推荐和生成（MemoMusic）、从脑电理解音乐和情感、音乐问答、生成音乐的情感质量评价以及智能图像审美评价。
本书主要特点：
·对于学术界和公众而言，人工智能艺术是一个引人入胜的跨学科领域
·每一章都是一个独立的有趣话题，为相应的读者提供了一个切入点
·本书介绍了用于艺术创作和理解的 SOTA 人工智能技术
·本书的艺术性和欣赏性非常广泛，例如人工智能与中国传统艺术的结合
·本书献给国际跨学科人工智能艺术界：来自人工智能（机器学习、计算机视觉、多媒体计算、情感计算、机器人等）、艺术（绘画、音乐、舞蹈、时尚、设计等）、认知科学和心理学的教授、学生、研究人员和工程师。普通读者也开卷有益。
编者介绍：
牟伦田于2012年获得中国科学院大学计算机科学博士学位。2014年在北京大学数字媒体研究所博士后出站。2019年至2020年在加州大学欧文分校Donald Bren信息与计算机科学学院任访问学者。他目前是北京工业大学信息科学技术学院、北京人工智能研究院的副教授，研究兴趣包括人工智能、多媒体计算、情感计算、智能艺术和类脑计算。他的研究成果发表在TAFFC、TMM、TOMM和ESWA等领域顶刊上，是北京市科技进步二等奖、IEEE标准制定杰出贡献奖和AVS 15周年杰出贡献奖的获得者。他是MIR的客座编辑，是TIP、TAFFC、TCSVT、TITS、AAAI等重要国际期刊和会议的审稿人。他是IEEE和CCF的高级会员、ACM会员、MPEG中国代表团专家。2023年CSIG情感智能会议（CEI）组委会主席；IEEE人工智能与艺术创作国际研讨会（AIART）的创始主席。
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