Author

Hu Gao

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Preprint Sep 2026

GraLoD: Graphics-Inspired Continuous Level-of-Detail Learning for Image Restoration

The spatial support required for image restoration varies across degradation types, image regions, and reconstruction stages. However, most existing methods rely on predefined multi-scale hierarchies and aggregate features through fixed fusion or attention, leaving the representation scale itself largely determined by...

Hu Gao, Li-Zhuang Ma, Yulong Chen · 0 citations

Preprint Aug 2026

Learning to Restore More: Continual Capability Expansion for Pretrained Image Restoration Models

Image restoration models are typically trained with a fixed set of capabilities. When new restoration requirements emerge, existing solutions usually train additional models or jointly retrain the original model with both new and historical data. Instead of designing another restoration backbone, we investigate how a t...

Hu Gao, Yulong Chen, Li-Zhuang Ma · 0 citations