38 citations · 110 across the 18 of their papers we have counts for
7 papers · 1 filter
Physically Interpretable Multi-Degradation Image Restoration via Deep Unfolding and Explainable Convolution
Hu Gao, Xiaoning Lei, Xichen Xu +2
Although image restoration has advanced significantly, most existing methods target only a single type of degradation. In real-world scenarios, images often contain multiple degrad…
MBMamba: When Memory Buffer Meets Mamba for Structure-Aware Image Deblurring
Hu Gao, Xiaoning Lei, Xichen Xu +2
The Mamba architecture has emerged as a promising alternative to CNNs and Transformers for image deblurring. However, its flatten-and-scan strategy often results in local pixel for…
Enhancing Image Restoration through Learning Context-Rich and Detail-Accurate Features
Hu Gao, Depeng Dang
Image restoration involves recovering high-quality images from their corrupted versions, requiring a nuanced balance between spatial details and contextual information. While certa…
Towards Arbitrary-Scale Spacecraft Image Super-Resolution via Salient Region-Guidance
Jingfan Yang, Hu Gao, Ying Zhang +1
Spacecraft image super-resolution seeks to enhance low-resolution spacecraft images into high-resolution ones. Although existing arbitrary-scale super-resolution methods perform we…
Towards Differential Handling of Various Blur Regions for Accurate Image Deblurring
Hu Gao, Depeng Dang
Image deblurring aims to restore high-quality images by removing undesired degradation. Although existing methods have yielded promising results, they either overlook the varying d…
Adaptive Identification of Blurred Regions for Accurate Image Deblurring
Hu Gao, Depeng Dang
Image deblurring aims to restore high-quality images from blurred ones. While existing deblurring methods have made significant progress, most overlook the fact that the degradatio…
Spatial and Frequency Domain Adaptive Fusion Network for Image Deblurring
Hu Gao, Depeng Dang
Image deblurring aims to reconstruct a latent sharp image from its corresponding blurred one. Although existing methods have achieved good performance, most of them operate exclusi…