1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Exploring Richer and More Accurate Information via Frequency Selection for Image Restoration
Hu Gao, Depeng Dang
Image restoration aims to recover high-quality images from their corrupted counterparts. Many existing methods primarily focus on the spatial domain, neglecting the understanding o…
Learning Accurate and Enriched Features for Stereo Image Super-Resolution
Hu Gao, Depeng Dang
Stereo image super-resolution (stereoSR) aims to enhance the quality of super-resolution results by incorporating complementary information from an alternative view. Although curre…
Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring
Hu Gao, Depeng Dang
Image deblurring aims to restore a high-quality image from its corresponding blurred. The emergence of CNNs and Transformers has enabled significant progress. However, these method…