A Hybrid CNN-Transformer Architecture with Frequency Domain Contrastive Learning for Image Deraining
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Abstract (arXiv)
Image deraining is a challenging task that involves restoring degraded images affected by rain streaks.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 42 of its 61 references that are in the map. First posted on arXiv 7 Aug 2023.
Builds on
42 of 61 references.
References · 42
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30 more
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- 2019Progressive Image Deraining Networks: A Better and Simpler Baselinecited by 271
- 2020Multi-Scale Progressive Fusion Network for Single Image Derainingcited by 259
- 2018Density-aware Single Image De-raining using a Multi-stream Dense Networkcited by 248
- 2021HINet: Half Instance Normalization Network for Image Restorationcited by 236
- 2018Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Derainingcited by 205
- 2019Deep Stacked Hierarchical Multi-patch Network for Image Deblurringcited by 205
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- 2022FreeGaze: Resource-efficient Gaze Estimation via Frequency Domain Contrastive Learningcited by 5
- 2022Detail-recovery Image Deraining via Dual Sample-augmented Contrastive Learningcited by 3
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