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About this paper
Lingxuan Huang, Sizhe He, Hengji Zhou, Liqiang Nie, Lianghao Xia, Chao Huang
A multi-agent framework, ViMax, is introduced for generating coherent, long-form videos by integrating hierarchical narrative planning, graph-based visual consistency, and VLM-based quality control. The system produces extended visual narratives from conceptual inputs, achieving higher scores in cross-scene and global consistency on ViMax-Bench and improved narrative faithfulness on NarrativeQA compared to existing methods.
Key insights
- Decomposing the long-form video generation task into specialized agentic roles with hierarchical planning enables effective management of both narrative complexity and visual coherence.
- Integrating global contextual awareness through RAG with hierarchical narrative decomposition prevents information loss and maintains narrative faithfulness across extended storylines.
- Explicitly modeling visual dependencies via a graph and using transition videos for spatial anchoring significantly improves object-level and geometric consistency across diverse camera angles and multiple shots.
Summary by alphaXiv.
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