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Jingren Liu

1 accepted papers

2026

FAPE-IR: Frequency-Aware Planning and Execution Framework for All-in-One Image Restoration

CVPR 2026

All-in-One Image Restoration (AIO-IR) aims to develop a unified model that can handle multiple degradations under complex conditions. However, existing methods often rely on task-specific designs or latent routing strategies, making it hard to adapt to real-world scenarios with various degradations.

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