AIGC驱动下的动画创作:技术变革、融合路径与风险挑战  

Animation Creation Driven by AIGC:Technological Transformation,Integration Pathways,and Risk Challenges

作　　者：贺京华 姜皖[1] HE Jinghua;JIANG Wan(Anhui Normal University,Wuhu 241000,China)

机构地区：[1]安徽师范大学,芜湖241000

出　　处：《北京印刷学院学报》2024年第5期68-72,共5页Journal of Beijing Institute of Graphic Communication

基　　金：安徽省质量工程项目“三维动画课程创新改革研究”(2020jyxm0687)成果。

摘　　要：2022年底,美国OpenAI公司发布了聊天机器人程序(Chat Generative Pre-trained Transformer,简称ChatGPT)这一划时代的人工智能产品,随即在世界范围内掀起了广泛的讨论热潮。人工智能作为一种全新的技术,对人们的日常生活和生产产生了深刻的影响。近年来,人工智能技术的发展重心由决策式人工智能(Artificial Intelligence,简称AI)转向了生成式AI,生成式AI在动画内容生产领域得到了广泛的运用,动画创作从创作本身转向了生成选择、从侧重三维技术向人工智能靠拢,生成式人工智能在剧本文案、角色场景设计、后期合成等环节均展现出巨大的潜力,但AI的运用仍然面临着情感表现不济、创意自主性缺失以及产学研用尚未成熟等文化、科技风险挑战。By the end of 2022,the US-based company OpenAI released ChatGPT,an epoch-making artificial intelligence product,which immediately sparked widespread discussion around the globe.As a new technology,artificial intelligence has had a profound impact on people's daily lives and production.In recent years,the development focus of AI technology has shifted from decision-based AI to generative AI.Generative AI has found extensive applications in the field of animation content production,transforming animation creation from a focus on the creative process itself to generating choices and moving closer to artificial intelligence from a 3D technical perspective.Generative AI has shown tremendous potential in areas such as script writing,character and scene design,and postproduction synthesis.However,the application of AI still faces cultural and technological risks and challenges,including inadequate emotional expression,lack of creative autonomy,and the immaturity of the collaboration between academia,industry,and research.

关 键 词：AIGC 动画创作 生成式人工智能 

分 类 号：J954[艺术—电影电视艺术]