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arXiv Open Access 2025

AniME: Adaptive Multi-Agent Planning for Long Animation Generation

Lisai Zhang Baohan Xu Siqian Yang Mingyu Yin Jing Liu +7 lainnya
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Abstrak

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.

Topik & Kata Kunci

cs.AI cs.MM

Penulis (12)

L

Lisai Zhang

B

Baohan Xu

S

Siqian Yang

M

Mingyu Yin

J

Jing Liu

C

Chao Xu

S

Siqi Wang

Y

Yidi Wu

Y

Yuxin Hong

Z

Zihao Zhang

Y

Yanzhang Liang

Y

Yudong Jiang

Format Sitasi

APA MLA BibTeX
Zhang, L., Xu, B., Yang, S., Yin, M., Liu, J., Xu, C. et al. (2025). AniME: Adaptive Multi-Agent Planning for Long Animation Generation. https://arxiv.org/abs/2508.18781

Akses Cepat

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Tahun Terbit
2025
Bahasa
en
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arXiv
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Open Access ✓