论文阅读：Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
2019 CVPR 本篇文章是2019CVPR的一篇文章，主要是提出了一个两个阶段的网络，基于物理的主干网络+深度指导的GAN细化网络。web 对于大雨中的场景，雨纹明显可见，密集的雨堆积或遮雨效果明显，图像被雨纹洗刷去，远处的场景相对更加模糊等。 本文主要提出了一种方法来解决大雨问题。网络结构主要分为两个阶段：基于物理信息的主干网络和深度信息指导的GAN细化网络。 一、第一阶段：根据基本的物理原
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相关文章
- 1. 论文阅读：Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
- 2. 【论文阅读】Heavy Rain Image Restoration-Integrating Physics Model and Conditional Adversarial Learning
- 3. Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning摘要翻译
- 4. Image-to-Image Translation with Conditional Adversarial Networks论文阅读分享(pix2pix)
- 5. 论文阅读——《Conditional Generative Adversarial Nets》
- 6. 【论文阅读】Semi-supervised Transfer Learning for Image Rain Removal
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- 8. 论文阅读：Deep Joint Rain Detection and Removal from a Single Image
- 9. 【论文阅读】MEAL: Multi-Model Ensemble via Adversarial Learning
- 10. 论文阅读——Towards Adversarial Retinal Image Synthesis