MVAgent: Multi-Agent Video Generation via Consistent Condition Construction and Shot-Level Policy Optimization

arXiv:2609.30609 · cs.CV · Submitted 2026-09-24 · Read on arXiv

cs.CV

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Consistency — 14× in this paper · explained in 3 episodes
• Grounding — 7× in this paper · explained in 3 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Multi-agent Collaboration — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Agentic System — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Wan: Open and Advanced Large-Scale Video Generative Models
• Automated Movie Generation via Multi-Agent CoT Planning
• ViMax: Agentic Video Generation
• NEWTON: Agentic Planning for Physically Grounded Video Generation
• UniVA: Universal Video Agent towards Open-Source Next-Generation Video Generalist
• The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
• GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
• Proximal Policy Optimization Algorithms
• LoRA: Low-Rank Adaptation of Large Language Models
• Qwen3 Technical Report

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