【论文阅读】Single Image Deraining: A Comprehensive Benchmark Analysis
论文发表于CVPR2019 论文连接web 对于单张图像去雨问题，大规模数据集和算法标准的缺失使得衡量取得的进展以及这些模型在实际应用中的效果。该论文试图填补这个缺口，对进行了综合的学习和评估，总结了目前存在的雨图模型，提出了一个大规模的benchmark，包括一个大数据集和多个涉及不一样方面的评价指标算法 雨图模型 rain streak 雨线图能够表示为干净背景B和稀疏的线型雨水S的线性叠加：
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相关文章
- 1. 论文阅读：A Deep Tree-Structured Fusion Model for Single Image Deraining
- 2. 论文阅读：Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
- 3. 论文阅读：Multi-Scale Progressive Fusion Network for Single Image Deraining
- 4. 论文阅读：Lightweight Pyramid Networks for Image Deraining
- 5. 论文阅读：Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
- 6. 论文阅读笔记:Deep Chain HDRI: Reconstructing a HDR Image from a Single LDR Image
- 7. 论文阅读：GANimation: Anatomically-aware Facial Animation from a Single Image
- 8. 论文阅读笔记----HDR image reconstruction from a single exposure using deep CNNs
- 9. 论文阅读：Visibility in BadWeather from a Single Image（未完）
- 10. 【论文阅读】Clearing the Skies: A deep network architecture for single-image rain removal