用多智能体协作系统,让动画前期制作更连贯高效。
AnimAgents: Coordinating Multi-Stage Animation Pre-Production with Human-Multi-Agent Collaboration
- 设计核心智能体+专用智能体,分阶段协同工作
- 实测在一致性、信息管理上显著优于单智能体方案
- 适合动画导演和独立创作者提升前期效率
动画前期制作通过概念到脚本、设计、分镜等多阶段转化,构建影片蓝图。当前生成式AI工具各自孤立,创作者需手动协调多个系统的输出,面临信息量大、流程断裂、创意控制难等问题。基于对12位专业导演与独立动画师的调研,我们提出AnimAgents:一个以核心智能体和专用智能体协同、配合四阶段专用看板的人机多智能体协作系统。该系统支持阶段感知调度、阶段专属输出管理及元素级细化,实现面向专业实践的端到端工作流。16位专业人士的对照实验表明,AnimAgents在协调性、一致性、信息管理与整体满意度上均显著优于配备高级并行图像生成的单智能体基线(p < .01)。4名创作者的实地部署进一步验证其在真实项目中的有效性。
原文摘要 · Abstract (English)
Animation pre-production lays the foundation of an animated film by transforming initial concepts into a coherent blueprint across interdependent stages such as ideation, scripting, design, and storyboarding. While generative AI tools are increasingly adopted in this process, they remain isolated, requiring creators to juggle multiple systems without integrated workflow support. Our formative study with 12 professional creative directors and independent animators revealed key challenges in their current practice: Creators must manually coordinate fragmented outputs, manage large volumes of information, and struggle to maintain continuity and creative control between stages. Based on the insights, we present AnimAgents, a human-multi-agent collaborative system that coordinates complex, multi-stage workflows through a core agent and specialized agents, supported by dedicated boards for the four major stages of pre-production. AnimAgents enables stage-aware orchestration, stage-specific output management, and element-level refinement, providing an end-to-end workflow tailored to professional practice. In a within-subjects summative study with 16 professional creators, AnimAgents significantly outperformed a strong single-agent baseline that equipped with advanced parallel image generation in coordination, consistency, information management, and overall satisfaction (p < .01). A field deployment with 4 creators further demonstrated AnimAgents' effectiveness in real-world projects.
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