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Jin-Xin Zhao

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Preprint Oct 2026

HarnessIR: Harnessing Multimodal Foundation Models for Universal Real-World Image Restoration

Real-world low-quality images suffer from complex mixed degradations, including but not limited to noise, blur, atmospheric effects, etc. Recent agentic methods usually model real-world image restoration (Real-IR) as a sequential tool calling problem over task-specific single-degradation restoration models. This paradi...

Xiang-Tao Kong, Shuai Liu, Rong-Yuan Wu et al. · 0 citations

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