生成式AI驱动的电影技术创新——SIGGRAPH 2024 AIGC相关研究综述  

Innovations in film technology empowered by generative AI:a review of film technology research related to AIGC at SIGGRAPH 2024

作　　者：刘绍龙[1] 段佳鑫 Liu Shaolong;Duan Jiaxin(School of Arts and Communication,Beijing Normal University)

机构地区：[1]北京师范大学艺术与传媒学院,北京100875

出　　处：《现代电影技术》2024年第10期21-28,共8页Advanced Motion Picture Technology

基　　金：中国博士后科学基金第75批面上资助“基于AI agent的智能叙事模型研究”(2024M750215)的成果。

摘　　要：SIGGRAPH会议长期以来一直是电影产业与先进技术融合的关键推动力。本文聚焦SIGGRAPH 2024所展示的生成式人工智能(Generative AI)技术在影像内容创作中的应用,系统梳理了计算机图形学(CG)与人工智能交叉领域的最新研究进展,并从泛化性、稳定性和可控性三个核心维度对生成式AI技术的现状进行深入分析,探讨了其在电影制作中的创新应用及其面临的挑战。此外,本文对生成式AI在未来电影技术发展中的角色进行了深度审视与前瞻预测,旨在为读者提供一个从技术迭代的视角理解生成式AI技术的适用性及其对未来电影产业的影响。The paper focuses on the application of generative artificial intelligence technologies in visual content creation at the SIGGRAPH 2024 conference.It systematically reviews the latest research advancements at the intersection of computer graphics and AI,offering an in-depth analysis of the current state of generative AI technologies across three aspects:generalization,stability and controllability.The paper further explores the innovative applications of generative AI in film production,as well as the challenges it faces.Additionally,it provides a comprehensive examination and forward-looking predictions on the role of generative AI in the future development of film technologies,aiming to offer readers a technical perspective on the applicability of generative AI and its potential impact on the film industry.

关 键 词：图形学 人工智能 SIGGRAPH AI内容生成 电影技术 

分 类 号：J931[艺术—电影电视艺术]