首页 > 其他分享 >历史最全图像/视频去模糊化精选论文整理分享

历史最全图像/视频去模糊化精选论文整理分享

时间:2023-06-23 10:32:10浏览次数:41  
标签:视频 Code 最全 模糊化 Project CVPR Paper Deblurring page


历史最全图像/视频去模糊化精选论文整理分享_Image

    本资源整理了图像/视频图模糊化相关的经典论文、相关的数据集。涉及基于深度学习技术的单图像盲运动去模糊化,非深度学习单图像盲运动去模糊化,非盲去模糊化,多图像/视频运动去模糊化等方面,分享给需要的朋友。

 

    资源整理自网络,源地址:https://github.com/subeeshvasu/Awesome-Deblurring#single-image-blind-motion-deblurring-dl

    

非深度学习单图像盲运动去模糊化

     2006-TOG - Removing camera shake from a single photograph. [Paper][Code & Project page]

 

     2007-CVPR - Single image motion deblurring using transparency. [Paper]

 

     2008-CVPR - Psf estimation using sharp edge prediction. [Paper][Project page]

 

     2008-TOG - High-quality motion deblurring from a single image. [Paper][Code & Project page]

 

     2009-TOG - Fast motion deblurring. [Paper]

 

     2009-CVPR - Image deblurring and denoising using color priors. [Paper][Project page]

 

     2010-CVPR - Efficient ̈filter flow for space-variant multiframe blind deconvolution. [Paper]

 

     2010-CVPR - Non-uniform deblurring for shaken images. [Paper][Code & Project page]

 

     2010-ECCV - Single image deblurring using motion density functions. [Paper][Project page]

 

     2010-ECCV - Two-phase kernel estimation for robust motion deblurring. [Paper][Code & Project page]

 

     2010-NIPS - Space-variant single-image blind deconvolution for removing camera shake. [Paper]

 

     2011-CVPR - Blind deconvolution using a normalized sparsity measure. [Paper][Code & Project page]

 

     2011-CVPR - Blur kernel estimation using the radon transform. [Paper][Code]

 

     2011-ICCV - Fast removal of non-uniform camera shake. [Paper]

 

     2012-ECCV - Blur-kernel estimation from spectral irregularities. [Paper]

 

     2013-CVPR - Unnatural L0 sparse representation for natural image deblurring. [Paper][Code & Project page]

 

     2013-ICCV - Dynamic Scene Deblurring. [Paper]

 

     2013-ICCP - Edge-based blur kernel estimation using patch priors. [Paper][Project page, Results & Dataset]

 

     2014-CVPR - Deblurring Text Images via L0 -Regularized Intensity and Gradient Prior. [Paper][Code & Project page]

 

     2014-CVPR - Segmentation-Free Dynamic Scene Deblurring. [Paper]

 

     2014-CVPR - Separable Kernel for Image Deblurring. [Paper]

 

     2014-ECCV - Blind deblurring using internal patch recurrence. [Paper][Code & Project page]

 

     2015-CVPR - Burst Deblurring: Removing Camera Shake Through Fourier Burst Accumulation. [Paper][Project page]

 

     2015-CVPR - Kernel Fusion for Better Image Deblurring. [Paper][Project page]

 

     2015-ICCV - Class-Specific Image Deblurring. [Paper][Project page & Code]

 

     2016-CVPR - Blind image deblurring using dark channel prior. [Paper][Code & Project page]

 

     2017-CVPR - Image deblurring via extreme channels prior. [Paper][Code & Project page]

 

     2017-CVPR - From local to global: Edge profiles to camera motion in blurred images. [Paper][Project page & Results-on-benchmark-datasets]

 

     2017-CVPR - Deblurring Natural Image Using Super-Gaussian Fields. [Paper][Code]

 

     2017-ICCV - Blind Image Deblurring with Outlier Handling. [Paper][Code]

 

     2019-CVPR - Blind Image Deblurring With Local Maximum Gradient Prior. [Paper]

 

     2019-CVPR - Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring. [Paper][Results-on-benchmark-datasets]

 

     2019-CVPR - A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring. [Paper]

    

深度学习单图像盲运动去模糊化

     2015-CVPR - Learning a convolutional neural network for non-uniform motion blur removal. [Paper][Code 1][Code 2]

 

     2016-ECCV - A neural approach to blind motion deblurring. [Paper][Code]

 

     2016-PAMI - Learning to deblur. [Paper]

 

     2017-CVPR - Deep multi-scale convolutional neural network for dynamic scene deblurring. [Paper][Code]

 

     2017-CVPR - From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. [Paper][Code]

 

     2017-ICCV - Blur-Invariant Deep Learning for Blind Deblurring. [Paper]

 

     2017-ICCV - Learning to Super-resolve Blurry Face and Text Images. [Paper][Code & Project page]

 

     2017-ICCV - Learning Discriminative Data Fitting Functions for Blind Image Deblurring. [Paper][Code]

 

     2018-TIP - Motion blur kernel estimation via deep learning. [Paper][Code & Project page]

 

     2018-CVPR - Deep Semantic Face Deblurring. [Paper][Code]

 

     2018-CVPR - Learning a Discriminative Prior for Blind Image Deblurring. [Paper][Code & Project page]

 

     2018-CVPR - Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks. [Paper][Code]

 

     2018-CVPR - Scale-recurrent network for deep image deblurring. [Paper][Code]

 

     2018-CVPR - Deblurgan: Blind motion deblurring using conditional adversarial networks. [Paper][Code-Pytorch]

 

     2018-ECCV - Unsupervised Class-Specific Deblurring. [Paper]

 

     2018-BMVC - Gated Fusion Network for Joint Image Deblurring and Super-Resolution. [Paper][Code][Project page]

 

     2019-WACV - Gyroscope-Aided Motion Deblurring with Deep Networks. [Paper][Code]

 

     2019-CVPR - Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels. [Paper][Code]

 

     2019-CVPR - Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections. [Paper]

 

     2019-CVPR - Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring. [Paper][Code]

 

     2019-CVPR - Unsupervised Domain-Specific Deblurring via Disentangled Representations. [Paper]

 

     2019-CVPR - Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution. [Paper]

 

     2019-CVPR - Bringing Alive Blurred Moments. [Paper][Project page & Results-on-benchmark-datasets]

 

     2019-Arxiv - Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks. [Paper][Code]

 

     2019-ICCV - DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better. [Paper][Code]

 

     2019-IJCV - Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement. [Paper][Code]

 

     2020-AAAI - Learning to Deblur Face Images via Sketch Synthesis. [Paper]

 

     2020-AAAI - Region-Adaptive Dense Network for Efficient Motion Deblurring. [Paper]

    

非盲去模糊化

     2009-NIPS - Fast image deconvolution using hyper-laplacian priors. [Paper][Code & Project page]

 

     2011-ICCV - Handling outliers in non-blind image deconvolution. [Paper][Code]

 

     2011-ICCV - From learning models of natural image patches to whole image restoration. [Paper][Code]

 

     2012-TIP - Bm3d frames and variational image deblurring. [Paper]

 

     2012-TIP - Robust image deblurring with an inaccurate blur kernel. [Paper] [Code]

 

     2013-CVPR - A machine learning approach for non-blind image deconvolution. [Paper][Code & Project page]

 

     2013-CVPR - Discriminative non-blind deblurring. [Paper][Code]

 

     2014-TIP - A general framework for regularized, similarity-based image restoration. [Paper] [Code & Project page]

 

     2014-NIPS - Deep convolutional neural network for image deconvolution. [Paper][Code & Project page]

 

     2014-CVPR - Shrinkage fields for effective image restoration. [Paper][Code]

 

     2017-CVPR - Noise-Blind Image Deblurring. [Paper]

 

     2017-CVPR - Image Deblurring via Extreme Channels Prior. [Paper][Code & Project page]

 

     2017-CVPR - Learning Deep CNN Denoiser Prior for Image Restoration. [Paper][Code]

 

     2017-CVPR - Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution. [Paper][Code]

 

     2017-ICCV - Learning to push the limits of efficient fft-based image deconvolution. [Paper][Code]

 

     2017-NIPS - Deep Mean-Shift Priors for Image Restoration. [Paper][Code]

 

     2018-CVPR - Non-blind Deblurring: Handling Kernel Uncertainty with CNNs. [Paper][Project page & Results-on-benchmark-datasets]

 

     2018-Arxiv - Learning an Optimizer for Image Deconvolution. [Paper][Code]

 

     2018-ECCV - Learning Data Terms for Non-blind Deblurring. [Paper]

 

     2018-NIPS - Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation. [Paper][Code]

   

多图像/视频运动去模糊化

     2014-ECCV - Modeling Blurred Video with Layers. [Paper][Project page, Results & Dataset]

 

     2015-TCI - Hand-held video deblurring via efficient fourier aggregation. [Paper][Project page & Results]

 

     2015-CVPR - Generalized Video Deblurring for Dynamic Scenes. [Paper][Code & Project page]

 

     2016-ECCV - Stereo video deblurring. [Paper]

 

     2017-CVPR - From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. [Paper][Code & Project page]

 

     2017-CVPR - Simultaneous stereo video deblurring and scene flow estimation. [Paper]

 

     2017-CVPR - Deep Video Deblurring for Hand-Held Cameras. [Paper][Code][Project page]

 

     2017-CVPR - Light Field Blind Motion Deblurring. [Paper][code]

 

     2017-ICCV - Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear Kernel. [Paper][Project page]

 

     2017-ICCV - Online Video Deblurring via Dynamic Temporal Blending Network. [Paper][Code]

 

     2018-ECCV - Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks. [Paper][Project page]

 

     2018-ECCV - Joint Blind Motion Deblurring and Depth Estimation of Light Field. [Paper]

 

     2019-TIP - Adversarial Spatio-Temporal Learning for Video Deblurring. [Paper][Code][Project page]

 

     2019-CVPR - Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring. [Paper]

 

     2019-CVPR - EDVR: Video Restoration with Enhanced Deformable Convolutional Networks. [Paper][Code-Pytorch][Project page]

 

     2019-CVPR - DAVANet: Stereo Deblurring With View Aggregation. [Paper][Code]

 

     2019-CVPR_W - NTIRE 2019 Challenge on Video Deblurring: Methods and Results [Paper]

 

     2019-CVPR_W - NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study [Paper]

 

     2019-CVPR_W - A Deep Motion Deblurring Network based on Per-Pixel Adaptive Kernels with Residual Down-Up and Up-Down Modules. [Paper]

 

     2019-ICCV - Spatio-Temporal Filter Adaptive Network for Video Deblurring. [Paper][Project page]

 

     2019-ICCV - Face Video Deblurring using 3D Facial Priors. [Project Page]

 

     2019-Arxiv - Fast and Full-Resolution Light Field Deblurring using a Deep Neural Network. [Paper]

 

     2019-Arxiv - Deep Video Deblurring: The Devil is in the Details. [Paper]

    

其他相关工作

     2019-CVPR - Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera. [Paper] [Code]

 

     2019-CVPR - Learning to Extract Flawless Slow Motion From Blurry Videos. [Paper] [Code]

 

     2019-CVPR - Learning to Synthesize Motion Blur. [Paper][Project page] [Code]


基准数据集

     2009-CVPR - Understanding and evaluating blind deconvolution algorithms. [Paper][Dataset]

 

     2012-ECCV - Recording and playback of camera shake: benchmarking blind deconvolution with a real-world database. [Paper][Dataset]

 

     2013-ICCP - Edge-based blur kernel estimation using patch priors. [Paper][Dataset]

 

     2016-CVPR - A Comparative Study for Single Image Blind Deblurring. [Paper][Dataset]

 

     2017-CVPR (GOPRO) - Deep multi-scale convolutional neural network for dynamic scene deblurring. [Paper][Dataset]

 

     2017-CVPR - Deep Video Deblurring for Hand-Held Cameras. [Paper][Dataset]

 

     2019-CVPR (Stereo Blur Dataset) - Stereo Deblurring With View Aggregation. [Paper][Dataset]

 

     2019-CVPR_W (REDS) - NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study. [Paper][Dataset]

 

     2019-ICCV (HIDE) - Human-Aware Motion Deblurring. [Paper][Dataset]

标签:视频,Code,最全,模糊化,Project,CVPR,Paper,Deblurring,page
From: https://blog.51cto.com/u_13046751/6537333

相关文章

  • 历史最全GAN模型PyTorch代码实现整理分享
        如果你是第一次接触AE自编码器和GAN生成对抗网络,那这将会是一个非常有用且效率的学习资源。所有的内容使用PyTorch编写,编写格式清晰,非常适合PyTorch新手作为学习资源。本项目的所有模型目前都是基于MNIST数据库进行图片生成。MNIST数据集是一个比较小,一个光CPU就能跑起来的......
  • 历史最全Java资源大全中文版整理分享
       很多程序员应该记得GitHub上有一个Awesome-XXX系列的资源整理。本资源对Java相关的资源列表进行翻译和整理,内容包括:构建工具、数据库、框架、模板、安全、代码分析、日志、第三方库、书籍、Java站点等。分享给需要的朋友。目录内容截图......
  • 七年音视频开发呕心沥血之作:《Android音视频开发进阶指南》开源分享
    前言前两天在脉脉看到这么一条动态:作为Android开发者,真的是深有感触,Android开发越来越卷,越来越多人唱衰Android,还有很多人一直在思考是否要转行,大家都越来越焦虑。。。但与其深陷焦虑,**我们更应该积极寻求出路,通过提升自己来更好地端好Android这碗饭:5G的浪潮全面袭来,其实为Android......
  • windows环境下,搭建RTSP视频推流服务器
    1.环境与配置1.1系统环境我这里使用的Windows1064位1.2下载RTSP服务器下载页面:https://github.com/aler9/rtsp-simple-server/releases这里,我们下载rtsp-simple-server_v0.19.1_windows_amd64.zip在百度网盘上下载也可以链接:https://pan.baidu.com/s/1FqMnAJWPo......
  • 最新Android音视频开发学习指南,建立自己的技术护城河
    我们常说音视频是程序员小众领域,但其实音视频技术在日常生活中随处可见:直播中要保证在各种网络状况下实现超低价延时、降低卡顿率,就需要用到音视频中的RTC和直播技术;上百人的视频会议若要保证流畅度和清晰的画质就要用到RTC和转码合流服务等技术…Android音视频开发进阶指南目......
  • 史上最全Android性能优化方案解析
    Android中的性能优分为以下几个方面:布局优化网络优化安装包优化内存优化卡顿优化启动优化……一.布局优化布局优化的本质就是减少View的层级。常见的布局优化方案如下:在LinearLayout和RelativeLayout都可以完成布局的情况下优先选择LinearLayout,可以减少View的层级,但是注意相同组......
  • Android开发想转行音视频,应该要怎么做?
    在星球经常被问到的问题,Android开发想转行音视频,应该要怎么做?很多人对此都有疑惑,不光有工作多年的职场老司机,也有求学期间的研究生同学们,摘录了其中一部分提问,可以看到大家的疑惑是有类似的。对于星球用户的每个提问我都有认真回答,毕竟每个人的情况不一样,没有什么统一的答案。这些......
  • Android 的下一个风口在哪里 ? 车载、智能家具、音视频。。。
    现在客户端卷的风起云涌,很多安卓开发者都是抱怨连天。内卷之下,相比本来就堪忧的发量,前途未卜的迷茫带来的精神折磨更是雪上加霜。在突破内卷这件事儿上,很多开发者都把目光对准了车企:智能座舱、车载系统,看起来都是不错的方向。那么我们来看一看,想要成功转型,最需要具备的素质是什么:想......
  • 中视频怎样写出好的带货文案?
    谁都不会购买自己不信任的产品,所以如果想要让用户购买你的产品,就必须先赢得用户的信任。赢得用户信任的方法有很多,其中一种比较直接有效的方法就是通过优质的带货文案运用恰当的话术。那么,如何才能写出好的带货文案呢?运营者可以从以下六个方面着重突破。(腾讯|课堂搜|索“如何运......
  • 腾讯云COS搭建个人视频点播服务
    随着个人视频文件越来越大,上传到云盘的话,下载太慢了,在线观看又非常慢,于是本文将介绍您使用腾讯云COS做视频点播服务:1、开通COS服务 2、创建COS存储桶 3、设置COS权限关于COS权限方面,如果是自己使用,建议私有读写,防止地址泄露后,文件被读产生流量费用及文件隐私泄露。 ......