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ShareVerse: Multi-Agent Consistent Video Generation for Shared World Modeling

arXiv – CS AI|Jiayi Zhu, Jianing Zhang, Yiying Yang, Wei Cheng, Xiaoyun Yuan|March 4, 2026 at 05:00 AM|1 views

🤖AI Summary

ShareVerse is a new AI video generation framework that enables multiple agents to interact and generate consistent videos within a shared virtual world. The system uses CARLA simulation data and cross-agent attention mechanisms to create 49-frame videos with multi-view consistency across different agents.

Key Takeaways

→ShareVerse introduces multi-agent shared world modeling for video generation, addressing limitations in existing single-agent approaches.
→The framework uses a CARLA-based dataset with diverse scenes, weather conditions, and paired multi-view videos from multiple camera angles.
→A spatial concatenation strategy ensures geometric consistency across four-view videos of independent agents.
→Cross-agent attention blocks enable interactive information transmission between agents for shared world consistency.
→The system supports large-scale 49-frame video generation with accurate dynamic agent positioning.

#shareverse #video-generation #multi-agent #ai-research #carla-simulation #computer-vision #shared-world-modeling #spatial-attention

Read Original →via arXiv – CS AI

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