38 citations · 45 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Learning to Restore Multi-Degraded Images via Ingredient Decoupling and Task-Aware Path Adaptation
Hu Gao, Xiaoning Lei, Ying Zhang +3
Image restoration (IR) aims to recover clean images from degraded observations. Despite remarkable progress, most existing methods focus on a single degradation type, whereas real-…
cs.CV2023★ 38 cited
Prompt-based Ingredient-Oriented All-in-One Image Restoration
Hu Gao, Depeng Dang
Image restoration aims to recover the high-quality images from their degraded observations. Since most existing methods have been dedicated into single degradation removal, they ma…
cs.CV2023★ 7 cited
Mixed Hierarchy Network for Image Restoration
Hu Gao, Depeng Dang
Image restoration is a long-standing low-level vision problem, e.g., deblurring and deraining. In the process of image restoration, it is necessary to consider not only the spatial…