論文閱讀：Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal
2017 TIP ：DerainNet 這篇文章也是傅雪陽大佬發的，有點像他2017的另一篇CVPR：DDN 文章第一個將深度卷積神經網絡CNN用於單幅圖像去雨，同時在細節層而不是在圖像域訓練網絡。 前人工作： 諸如低秩模型、稀疏編碼、字典學習、層先驗方法、GMM等等，這裏不再贅述。 存在問題： 之前的方法僅通過低層特性將雨紋從對象細節中分離出來。 當物體的結構和方向與雨紋相似時，這些方法很難同時
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相關文章
- 1. 【論文閱讀】Clearing the Skies: A deep network architecture for single-image rain removal
- 2. Clearing the Skies: A deep network architecture for single-image rain removal
- 3. 論文閱讀：Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
- 4. 論文閱讀：Self-Refining Deep Symmetry Enhanced Network for Rain Removal
- 5. A Model-driven Deep Neural Network for Single Image Rain Removal閱讀分享
- 6. 【論文閱讀】Deep Joint Rain Detection and Removal from a Single Image
- 7. 論文閱讀：Deep Joint Rain Detection and Removal from a Single Image
- 8. 論文閱讀：ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
- 9. 論文閱讀：Removing rain from single images via a deep detail network
- 10. 論文閱讀：Rain Streak Removal for Single Image via Kernel Guided CNN