CRT-HMAR: Causal Requirement Tracing-Guided Hierarchical Multi-Agent Regulation for Open-Task-Aware Infrared-Visible Image Fusion

The paper introduces CRT‑HMAR, a framework that uses causal requirement tracing and hierarchical multi‑agent regulation to perform infrared‑visible image fusion that is aware of open tasks. It maps task‑specific semantic preferences into image‑level causal requirement maps, aggregates this knowledge with a requirement analysis agent, and balances multi‑objective optimization while mitigating gradient conflicts. Experiments on five downstream tasks show that CRT‑HMAR generalizes better to unseen tasks while preserving performance on seen tasks.

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• agents
• multimodal