3 papers
cs.CV2025
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…
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…