SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video Generation

📰 ArXiv cs.AI

SCMAPR is a self-correcting multi-agent prompt refinement framework for complex-scenario text-to-video generation

advanced Published 8 Apr 2026
Action Steps
  1. Formulate complex-scenario prompt refinement as a stage-wise multi-agent refinement process
  2. Implement SCMAPR framework to refine text prompts
  3. Utilize diffusion models for text-to-video generation
  4. Evaluate and refine the framework for improved performance
Who Needs to Know This

AI engineers and researchers working on text-to-video generation tasks can benefit from SCMAPR, as it improves the accuracy and specificity of text prompts in complex scenarios

Key Insight

💡 SCMAPR framework can improve the accuracy and specificity of text prompts in complex scenarios for text-to-video generation

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🚀 SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for complex-scenario text-to-video generation
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