基于深度学习的Image Inpainting （图像修复）论文

Image blending（提升画质）

CVPR 2017 的  GP-GAN: Towards Realistic High-Resolution Image Blending[Paper][Code]

Image Inpainting

1. CVPR 2016的Context-Encoders（CNN+GAN， 鼻祖级的 NN修复方法）

链接： Feature Learning by Inpainting;

Github代码:pathak22/context-encoder​github.com

2. CVPR 2017的High Resolution Inpainting(Context-Encoders+CNNMRF)

链接： High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis;

Github代码: leehomyc/Faster-High-Res-Neural-Inpainting​github.com

3.CVPR 2017的  Semantic Image Inpainting with Perceptual and Contextual Losses

链接： [Paper][Code]

4. ICCV 2017的on demanding learning(感觉也是Context-Encoders的衍生版...)

 链接：On-Demand Learning for Deep Image Restoration

Github代码:rhgao/on-demand-learning​github.com

5. SIGGRAPH 2017 (ACM ToG)的Globally and Locally Consistent Image Completion

(CE中加入Global+Local两个判别器的改进)， 

Github代码:https://github.com/satoshiiizuka/siggraph2017_inpainting​github.com

6. ICLR 2018的New AI Imaging Technique Reconstructs Photos with Realistic Results

Image Inpainting for Irregular Holes UsingPartial Convolutions 

号称秒杀PS的AI图像修复神器，来自于Nvidia 研究团队。引入了局部卷积，能够修复任意非中心、不规则区域），代码还没有放出来

论文地址：[1804.07723] Image Inpainting for Irregular Holes Using Partial Convolutions​arxiv.org

7. CVPR 2018的Generative Image Inpainting with Contextual Attention，

一作大佬jiahui Yu 后续还有个工作: Free-Form Image Inpainting with Gated Convolution,

 Github代码：JiahuiYu/generative_inpainting​github.com

8. ECCV 2018 哈工大左孟旺老师的深度特征重排的图像修复Shift-Net: Image Inpainting via Deep Feature Rearrangement

链接：[Paper][code]

9.Deep image prior

项目主页：https://dmitryulyanov.github.io/deep_image_prior

适用场景：

1）难以建模图像退化过程

2）难以得到训练图像进行监督训练

10.ECCV 2018的Contextual-based Image Inpainting，inpainting大佬Chao Yang(NPS的一作)等人的又一力作:Contextual-based Image Inpainting​arxiv.org

11.CVPR 2017 的 人脸生成 Generative face completion

链接：[Paper][code]

13. CVPR2017 的  Semantic Image Inpainting with Perceptual and Contextual Losses

链接：[Paper][Code]

参考链接：

1.https://www.zhihu.com/question/56801298

2.https://blog.csdn.net/muyiyushan/article/details/79093806

3.https://blog.csdn.net/gavinmiaoc/article/details/80802967

4.https://www.52cv.net/?p=315

5.https://github.com/learn2Pro/Learn4xy#image-inpainting