Attentive Generative Adversarial Network for Raindrop Removal from A Single Image 閱讀筆記
Attentive Generative Adversarial Network for Raindrop Removalfrom A Single Image 去雨不是我的方向，讀這篇論文的主要目的在於它同時用到了注意力機制和LSTM 網絡結構是這樣的： attention的機制是這樣的：生成的attention map居然是concate到下一個時間步上，concatenate能起到atten
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相關文章
- 1. 【論文翻譯】中英對照翻譯--（Attentive Generative Adversarial Network for Raindrop Removal from A Single Image）
- 2. 《Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network》閱讀筆記
- 3. SinGAN: Learning a Generative Model from a Single Natural Image 閱讀筆記
- 4. 論文閱讀——Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
- 5. 論文閱讀之《Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network》
- 6. 《Automatic Estimation and Removal of Noise from a Single Image》閱讀筆記
- 7. 【論文閱讀】Clearing the Skies: A deep network architecture for single-image rain removal
- 8. 論文閱讀：Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal
- 9. A Model-driven Deep Neural Network for Single Image Rain Removal閱讀分享
- 10. 【論文閱讀】Deep Joint Rain Detection and Removal from a Single Image