Clearing the Skies: A deep network architecture for single-image rain removal
Clearing the Skies: A deep network architecture for single-image rain removal 贡献 1）DerainNet在细节层而不是图像域上进行训练可以改善对网络权重的学习，从而改善排水效果，而无需大量增加训练数据或计算资源。 2）合成的雨天图像上进行训练，但是在实际的雨天图像上进行测试时， 利用低通滤波器将每个图像分解为低频bas
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相关文章
- 1. 【论文阅读】Clearing the Skies: A deep network architecture for single-image rain removal
- 2. 论文阅读：Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal
- 3. A Model-driven Deep Neural Network for Single Image Rain Removal阅读分享
- 4. 论文阅读：Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
- 5. 论文阅读：Self-Refining Deep Symmetry Enhanced Network for Rain Removal
- 6. A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing(CEILNet)
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- 8. CNN阴影去除--DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal
- 9. 【论文阅读】Deep Joint Rain Detection and Removal from a Single Image
- 10. Deep Convolutional Neural Network Architecture