Image Inpainting2020——图像修复 —— 论文汇总
【摘要】 Image Inpainting2020——图像修复 —— 论文汇总
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📔 种草一个 论文总结网站
备注:感觉自己总结的,啥也不是…
- paperswithcode
- Awesome-Image-Inpainting–论文汇总
- DrogoZhang 博主归纳的图像修复(Image Inpainting)必读论文——2000–2019
- https://www.zhihu.com/question/56801298| 深度学习做图像修复
Paper Name | Architecture | Inpaint type | time |
---|---|---|---|
Context Encoders: Feature Learning by Inpainting | Context Encoders + treconstruction and adversarial loss ( Semantics 修复 ) | Random block | 2016 |
Globally and Locally Consistent Image Completion | Completion Network + Global and Local Discriminator | 不规则洞 、目标移除 | 2017 |
---- | CVPR | – | – |
Image Inpainting for Irregular Holes Using Partial Convolutions | encoder-decoder + Partial Convolutions | 不规则洞 | 2018 |
Free-Form Image Inpainting with Gated Convolution | Coarse(粗糙的) Network + Contextual Attention or ( gated convolution and SN-PatchGAN) | 目标移除、图像(人脸)编辑 | 2019 |
基于动差重构损失的模范生成对抗网络(ExMRGAN) | 动差重构损失 GAN | 眼部遮挡修复 | 2019 |
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting | encoder-decoder + Cross-layer attention transfer + Pyramid filling | 块遮挡、不规则洞 | 2019 |
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning | edge generation and image completion gan DilatedConv+ResidualBlocks | 块遮挡、不规则洞 | 2019 |
3D Photography using Context-aware Layered Depth Inpainting | edge inpainting network (GAN)+ Context-aware color and depth inpainting (U-Net) | single RGB-D input image into a 3D photo | 2020 |
Prior Guided GAN Based Semantic Inpainting | noise prior(LSTM-CNN) + GAN ( 先训练GAN-再训练先验) | 块遮挡 | 2020 |
Recurrent Feature Reasoning for Image Inpainting | area identification module + feature reasoning module + feature merging operator PConv+Conv+ KCA(Knowledge Consistent Attention) | 不规则洞 | 2020 |
UCTGAN: Diverse Image Inpainting based on Unsupervised Cross-Space Translation | manifold projection & conditional encoder + generation module 、KL Divergence Loss、Cross Semantic Attention | 块遮挡 | 2020 |
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting | Contextual Residual Aggregation GAN + attention score sharing、 multi-scale attention transfer、 Light-Weight Gated Convolutions (LWGC) 、 dilated convolutions | 目标移除、不规则洞 | 2020 |
Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting | GAN + eye aesthetic(Encoder 、Residua Block、Decoder) and face semantic (目标轮廓检测网络) | 眼部修复 | 2020 |
Bringing Old Photos Back to Life | Two VAE(real photos 、 clean images) jointly training an adversarial discriminator + Restoration through latent mapping | 照片划痕 | 2020 |
– | ECCV | – | – |
Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations | channel and spatial domains + Partial Conv | 不规则洞 | 2020 |
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation | 判别器来作为距离度量+先整体后局部的渐进式重建 | 图像修复多种任务 | 2020 |
📕 论文对应源码
paper | code | time | Interest index | type |
---|---|---|---|---|
Pluralistic Image Completion | https://github.com/lyndonzheng/Pluralistic-Inpainting | 2019 | 4 | Pytoch 0.4.0 |
Free-Form Image Inpainting with Gated Convolution | https://github.com/JiahuiYu/generative_inpainting | 2019 | 4 | tensorflow 1.X |
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning | https://github.com/knazeri/edge-connect | 2019 | 4 | PyTorch 1.0 |
Recurrent Feature Reasoning for Image Inpainting | https://github.com/jingyuanli001/RFR-Inpainting | 2020 | 5 | PyTorch >= 1.0.0 |
📗 论文解析
paper | content | link | time |
---|---|---|---|
Image Inpainting for Irregular Holes Using Partial Convolutions | 用部分卷积对不规则孔进行图像修复 | https://blog.csdn.net/king_haw/article/details/86177796 | 2018 |
Pluralistic Image Completion | 从多元化的层面对图像进行修补 | https://blog.csdn.net/sunlum/article/details/106673915 | 2019 |
Generative Image Inpainting with Contextual Attention | Contextual Attention | https://zhuanlan.zhihu.com/p/50620348 | 2018 |
PEPSI : Fast Image Inpainting with Parallel Decoding Network | coarse-to-fine network with the contextual attention module (CAM) + 的改进 ;编码器共享;解码器部分参数共享 – 可惜没有源码 | https://blog.csdn.net/qq_40079310/article/details/100166330 | 2019 |
📘 近3年图像修复方向 30 + 论文 获取途径如下
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