activity
20172025
most citedPrompt-based Ingredient-Oriented All-in-One Image Restoration

38 citations · 110 across the 18 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.CV2024

Structure Modeling Activation Free Fourier Network for Spacecraft Image Denoising

Jingfan Yang, Hu Gao, Ying Zhang +2

Spacecraft image denoising is a crucial fundamental technology closely related to aerospace research. However, the existing deep learning-based image denoising methods are primaril…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

Emphasizing Crucial Features for Efficient Image Restoration

Hu Gao, Bowen Ma, Ying Zhang +3

Image restoration is a challenging ill-posed problem which estimates latent sharp image from its degraded counterpart. Although the existing methods have achieved promising perform…

cs.CV2024★ 1 cited

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…