【論文閱讀】Single Image Deraining: A Comprehensive Benchmark Analysis
論文發表於CVPR2019 論文連接web 對於單張圖像去雨問題，大規模數據集和算法標準的缺失使得衡量取得的進展以及這些模型在實際應用中的效果。該論文試圖填補這個缺口，對進行了綜合的學習和評估，總結了目前存在的雨圖模型，提出了一個大規模的benchmark，包括一個大數據集和多個涉及不一樣方面的評價指標算法 雨圖模型 rain streak 雨線圖能夠表示爲乾淨背景B和稀疏的線型雨水S的線性疊加：
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相關文章
- 1. 論文閱讀：A Deep Tree-Structured Fusion Model for Single Image Deraining
- 2. 論文閱讀：Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
- 3. 論文閱讀：Multi-Scale Progressive Fusion Network for Single Image Deraining
- 4. 論文閱讀：Lightweight Pyramid Networks for Image Deraining
- 5. 論文閱讀：Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
- 6. 論文閱讀筆記:Deep Chain HDRI: Reconstructing a HDR Image from a Single LDR Image
- 7. 論文閱讀：GANimation: Anatomically-aware Facial Animation from a Single Image
- 8. 論文閱讀筆記----HDR image reconstruction from a single exposure using deep CNNs
- 9. 論文閱讀：Visibility in BadWeather from a Single Image（未完）
- 10. 【論文閱讀】Clearing the Skies: A deep network architecture for single-image rain removal