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作 者:刘嘉俊 卫诗磊 Liu Jiajun;Wei Shilei(Department of Science Theatre,The Central Academy of Drama;Department of Science Theatre,The Central Academy of Drama,School of New Media Art and Design,Beihang University)
机构地区:[1]中央戏剧学院数字戏剧系,北京100710 [2]北京航空航天大学新媒体艺术与设计学院,北京100191
出 处:《现代电影技术》2025年第1期31-38,共8页Advanced Motion Picture Technology
基 金:北京航空航天大学研究生教育与发展研究专项基金资助项目“人工智能机器学习在角色动画中的应用”(JG2024059)。
摘 要:人工智能生成内容(AIGC)技术在影视创作中的应用日益广泛,为电影行业带来了前所未有的革新。随着相关技术的持续成熟,AIGC打破了传统影视制作的局限,不仅降低了创作门槛,还提升了创作效率。动作作为电影的核心元素,其创制过程也深受AIGC技术的影响。本文聚焦文本生成动作这一前沿领域,阐述从电影文本构建到动作演绎的转化路径,探讨AIGC赋能电影动作创制的全新可能性。文章梳理了AIGC的生成路径及应用现状,重点分析以Mo-tionGPT为代表的文本-动作生成模型结构及其实践应用,并从动作控制和美学价值两方面剖析了当前技术面临的挑战。实践应用表明文本生成动作技术能有效提升动作创制的效率和创意表现力,从而为AIGC赋能电影动作创制提供新的思路和方向。The application of AIGC technology in film production is increasingly widespread,driving unprecedented innova-tion within the industry.As related technologies continue to mature,AIGC has overcome the limitations of traditional film production,lowering creative barriers and enhancing efficiency.As a core element of film,the creation of motion is also deeply influenced by AIGC technology.This paper focuses on the cutting-edge field of text-to-motion generation,explaining the transformation process from film text construction to motion interpretation,and exploring the new possibilities AIGC of-fers for film motion creation.The article outlines the generation path and current applications of AIGC,with a particular fo-cus on the structure and practical application of text-to-motion generation models,exemplified by MotionGPT.It also exam-ines the challenges that current technologies are facing,concerning motion control and aesthetic value.Practical applica-tions demonstrate that text-based motion generation technology significantly improves both the efficiency and creative po-tential of motion production,providing fresh insights and directions for AIGC-driven film motion creation.
分 类 号:J931[艺术—电影电视艺术] TP3-05[自动化与计算机技术—计算机科学与技术]
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