Attentive Generative Adversarial Network for Raindrop Removal from A Single Image 阅读笔记
Attentive Generative Adversarial Network for Raindrop Removalfrom A Single Image 去雨不是我的方向，读这篇论文的主要目的在于它同时用到了注意力机制和LSTM 网络结构是这样的： attention的机制是这样的：生成的attention map居然是concate到下一个时间步上，concatenate能起到atten
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相关文章
- 1. 【论文翻译】中英对照翻译--（Attentive Generative Adversarial Network for Raindrop Removal from A Single Image）
- 2. 《Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network》阅读笔记
- 3. SinGAN: Learning a Generative Model from a Single Natural Image 阅读笔记
- 4. 论文阅读——Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
- 5. 论文阅读之《Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network》
- 6. 《Automatic Estimation and Removal of Noise from a Single Image》阅读笔记
- 7. 【论文阅读】Clearing the Skies: A deep network architecture for single-image rain removal
- 8. 论文阅读：Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal
- 9. A Model-driven Deep Neural Network for Single Image Rain Removal阅读分享
- 10. 【论文阅读】Deep Joint Rain Detection and Removal from a Single Image