論文閱讀：Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
2019 CVPR 本篇文章是2019CVPR的一篇文章，主要是提出了一個兩個階段的網絡，基於物理的主幹網絡+深度指導的GAN細化網絡。 對於大雨中的場景，雨紋明顯可見，密集的雨堆積或遮雨效果明顯，圖像被雨紋洗刷去，遠處的場景相對更加模糊等。 本文主要提出了一種方法來解決大雨問題。網絡結構主要分爲兩個階段：基於物理信息的主幹網絡和深度信息指導的GAN細化網絡。 1、第一階段：根據基本的物理原理來估
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相關文章
- 1. 論文閱讀：Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
- 2. 【論文閱讀】Heavy Rain Image Restoration-Integrating Physics Model and Conditional Adversarial Learning
- 3. Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning摘要翻譯
- 4. Image-to-Image Translation with Conditional Adversarial Networks論文閱讀分享(pix2pix)
- 5. 論文閱讀——《Conditional Generative Adversarial Nets》
- 6. 【論文閱讀】Semi-supervised Transfer Learning for Image Rain Removal
- 7. 【論文閱讀】Deep Joint Rain Detection and Removal from a Single Image
- 8. 論文閱讀：Deep Joint Rain Detection and Removal from a Single Image
- 9. 【論文閱讀】MEAL: Multi-Model Ensemble via Adversarial Learning
- 10. 論文閱讀——Towards Adversarial Retinal Image Synthesis