AI RESEARCH
OPERA: An Agent for Image Restoration with End-to-End Joint Planning-Execution Optimization
arXiv CS.CV
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ArXi:2605.22104v1 Announce Type: new Real-world image restoration is challenging due to complex and interacting mixed degradations. Recent agent-based approaches address this problem by composing multiple task-specific restoration tools. However, empirical analysis reveals that their performance is fundamentally limited by implicitly constrained planning spaces and the lack of coordination among independently pretrained tools.