AniME: Adaptive Multi-Agent Planning for Long Animation Generation
August 26, 2025 Β· Declared Dead Β· π Proceedings of the SIGGRAPH Asia 2025 Posters
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Authors
Lisai Zhang, Baohan Xu, Siqian Yang, Mingyu Yin, Jing Liu, Chao Xu, Siqi Wang, Yidi Wu, Yuxin Hong, Zihao Zhang, Yanzhang Liang, Yudong Jiang
arXiv ID
2508.18781
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.MM
Citations
2
Venue
Proceedings of the SIGGRAPH Asia 2025 Posters
Last Checked
4 months ago
Abstract
We present AniME, a director-oriented multi-agent system for automated long-form anime production, covering the full workflow from a story to the final video. The director agent keeps a global memory for the whole workflow, and coordinates several downstream specialized agents. By integrating customized Model Context Protocol (MCP) with downstream model instruction, the specialized agent adaptively selects control conditions for diverse sub-tasks. AniME produces cinematic animation with consistent characters and synchronized audio visual elements, offering a scalable solution for AI-driven anime creation.
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