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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★ 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…