Feb. 8, 2024, 5:47 a.m. | Yuhong He Aiwen Jiang Lingfang Jiang Zhifeng Wang Lu Wang

cs.CV updates on arXiv.org arxiv.org

Transformers have recently emerged as a significant force in the field of image deraining. Existing image deraining methods utilize extensive research on self-attention. Though showcasing impressive results, they tend to neglect critical frequency information, as self-attention is generally less adept at capturing high-frequency details. To overcome this shortcoming, we have developed an innovative Dual-Path Coupled Deraining Network (DPCNet) that integrates information from both spatial and frequency domains through Spatial Feature Extraction Block (SFEBlock) and Frequency Feature Extraction Block (FFEBlock). We …

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