Multi-Agent Image Restoration

Understand

Image restoration (IR) is challenging due to the complexity of real-world degradations.

• While many specialized and all-in-one IR models have been developed, they fail to effectively handle complex, mixed degradations.
• Recent agentic methods RestoreAgent and AgenticIR leverage intelligent, autonomous workflows to alleviate this issue, yet they suffer from suboptimal results and inefficiency due to their resource-intensive finetunings, and ineffective searches and tool execution trials for satisfactory outputs.
• In this paper, we propose MAIR, a novel Multi-Agent approach for complex IR problems.