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Jiyang Lu

2 accepted papers

2024

Rethinking Multi-Scale Representations in Deep Deraining Transformer

AAAI 2024technical

Existing Transformer-based image deraining methods depend mostly on fixed single-input single-output U-Net architecture. In fact, this not only neglects the potentially explicit information from multiple image scales, but also lacks the capability of exploring the complementary implicit information…

Cited by 13SourcePDFScholar
2023

Hybrid CNN-Transformer Feature Fusion for Single Image Deraining

AAAI 2023technical

Since rain streaks exhibit diverse geometric appearances and irregular overlapped phenomena, these complex characteristics challenge the design of an effective single image deraining model. To this end, rich local-global information representations are increasingly indispensable for better satisfyin…