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Awesome-Denoise

授权协议 MIT License
开发语言 Python
所属分类 神经网络/人工智能、 机器学习/深度学习
软件类型 开源软件
地区 不详
投 递 者 孙熠彤
操作系统 跨平台
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 软件概览

Awesome-Denoise

There are three main factors to divide these papers into different catrgories to have a better idea.
Sometimes raw domain denoising papers would use some ISP to convert to sRGB domain, So use Both to cover this situation.
Sometimes video denoising papers degrade to burst denoising, even single image denoising, always use Video tag to cover this situation.

  • Color Space

    • RGB
    • Raw
    • Both

  • Image Kind

    • Single
    • Burst
    • Video

  • Noise Model

    • AWGN(Additive White Gaussian Noise model)
    • PG(Posion Gaussian noise model)
    • GAN(Gan based noise model)
    • Real(camera or dlsr devices real noise model)
    • Prior
      • Low Rank
      • Sparsity
      • self similarity

benchmark dataset

2020

Pub Title Color Image Noise Code Cite
TIP Noisy-As-Clean: Learning Self-supervised Denoising from Corrupted Image Pytorch 0
TIP Blind universal Bayesian image denoising with Gaussian noise level learning - 8
TIP Learning Deformable Kernels for Image and Video Denoising - 6
TIP Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising - 0
TIP Deep Graph-Convolutional Image Denoising - 10
TIP NLH : A Blind Pixel-level Non-local Method for Real-world Image Denoising - 5
TIP Image Denoising via Sequential Ensemble Learning - 2
TIP Connecting Image Denoising and High-Level Vision Tasks via Deep Learning - 16
CVPR Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising - 3
CVPR A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising Pytorch 1
CVPR Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes Both Video Real Pytorch 1
CVPR Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization - 1
CVPR Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image - 3
CVPR Noisier2Noise: Learning to Denoise From Unpaired Noisy Data - 3
CVPR Joint Demosaicing and Denoising With Self Guidance - 2
CVPR FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation RGB Video AWGN - 1
CVPR CycleISP: Real Image Restoration via Improved Data Synthesis Pytorch 4
CVPR Basis Prediction Networks for Effective Burst Denoising With Large Kernels - 2
CVPR Superkernel Neural Architecture Search for Image Denoising - 2
ECCV Spatial-Adaptive Network for Single Image Denoising - 0
ECCV A Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images - 0
ECCV Burst Denoising via Temporally Shifted Wavelet Transforms - 0
ECCV Unpaired Learning of Deep Image Denoising Pytorch 0
ECCV Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation Pytorch 1
ECCV Learning Camera-Aware Noise Models Pytorch 0
ECCV Practical Deep Raw Image Denoising on Mobile Devices Raw Single PG MegEngine 0
ECCV Reconstructing the Noise Manifold for Image Denoising - 0
NN Deep Learning on Image Denoising : An Overview - 19
WACV Identifying recurring patterns with deep neural networks for natural image denoising - 3
ICASSP Attention Mechanism Enhanced Kernel Prediction Networks for Denoising of Burst Images Pytorch 1
Arxiv Low-light Image Restoration with Short- and Long-exposure Raw Pairs - 0

2019

Pub Title Color Image Noise Code Cite
TIP Optimal combination of image denoisers - 8
TIP High ISO JPEG Image Denoising by Deep Fusion of Collaborative and Convolutional Filtering - 4
TIP Texture variation adaptive image denoising with nonlocal PCA - 2
TIP Color Image and Multispectral Image Denoising Using Block Diagonal Representation - 7
TIP Tchebichef and Adaptive Steerable-Based Total Variation Model for Image Denoising - 12
TIP Iterative Joint Image Demosaicking and Denoising Using a Residual Denoising Network - 21
TIP Content-Adaptive Noise Estimation for Color Images with Cross-Channel Noise Modeling - 0
TPAMI Real-world Image Denoising with Deep Boosting Tensorflow 9
JVCIR Vst-net: Variance-stabilizing transformation inspired network for poisson denoising Matlab 3
NIPS Variational Denoising Network: Toward Blind Noise Modeling and Removal - 20
NIPS High-Quality Self-Supervised Deep Image Denoising - 22
ICML Noise2Self: Blind Denoising by Self-Supervision Pytorch 71
ICML Plug-and-play methods provably converge with properly trained denoisers - 34
CVPR Unsupervised Domain Adaptation for ToF Data Denoising with Adversarial Learning - 7
CVPR Robust Subspace Clustering with Independent and Piecewise Identically Distributed Noise Modeling - 2
CVPR Toward convolutional blind denoising of real photographs Matlab 139
CVPR FOCNet: A Fractional Optimal Control Network for Image Denoising - 22
CVPR Noise2void-learning denoising from single noisy images - 101
CVPR Unprocessing images for learned raw denoising - 75
CVPR Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior - 12
CVPR Model-blind video denoising via frame-to-frame training other 16
ICCV Self-Guided Network for Fast Image Denoising - 17
ICCV Noise flow: Noise modeling with conditional normalizing flows - 19
ICCV Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images - 4
ICCV Fully Convolutional Pixel Adaptive Image Denoiser Keras 8
ICCV Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise - 4
ICCV CIIDefence: Defeating Adversarial Attacks by Fusing Class-Specific Image Inpainting and Image Denoising - 6
ICCV Real Image Denoising with Feature Attention - 46
CVPRW GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling - 25
CVPRW Learning raw image denoising with bayer pattern unification and bayer preserving augmentation - 15
CVPRW Deep iterative down-up CNN for image denoising - 18
CVPRW Densely Connected Hierarchical Network for Image Denoising - 16
CVPRW ViDeNN: Deep Blind Video Denoising - 10
CVPRW Real Photographs Denoising With Noise Domain Adaptation and Attentive Generative Adversarial Network - 6
CVPRW Learning Deep Image Priors for Blind Image Denoising - 2
ICIP DVDnet: A fast network for deep video denoising RGB Video AWGN Pytorch 5
ICIP Multi-kernel prediction networks for denoising of burst images - 4
ICIP A non-local cnn for video denoising - 9
AAAI Adaptation Strategies for Applying AWGN-based Denoiser to Realistic Noise - 3
arxiv When AWGN-based Denoiser Meets Real Noises Pytorch 10
arxiv Generating training data for denoising real rgb images via camera pipeline simulation - 7
arxiv Learning Deformable Kernels for Image and Video Denoising - 6
arxiv Gan2gan: Generative noise learning for blind image denoising with single noisy images - 5

2018

Pub Title Code Cite
TIP Weighted Tensor Rank-1 Decomposition for Nonlocal Image Denoising - 6
TIP Towards Optimal Denoising of Image Contrast - ４
TIP Time-of-Flight Range Measurement in Low- sensing Environment : Noise Analysis and Complex-domain Non-local Denoising - 4
TIP Statistical Nearest Neighbors for Image Denoising - 10
TIP Joint Denoising / Compression of Image Contours via Shape Prior and Context Tree - 5
TIP Image Restoration by Iterative Denoising and Backward Projections - 45
TIP Corrupted reference image quality assessment of denoised images - 3
TIP FFDNet: Toward a fast and flexible solution for CNN-based image denoising Matlab 437
TIP External prior guided internal prior learning for real-world noisy image denoising - 60
TIP Class-aware fully convolutional Gaussian and Poisson denoising Tensorflow 27
TIP VIDOSAT: High-dimensional sparsifying transform learning for online video denoising - 17
TIP Effective and fast estimation for image sensor noise via constrained weighted least squares - 11
ToG Denoising with kernel prediction and asymmetric loss functions - 46
TMM Gradient prior-aided cnn denoiser with separable convolution-based optimization of feature dimension - 9
NIPS Training deep learning based denoisers without ground truth data - 31
ICML Noise2Noise: Learning Image Restoration without Clean Data - 280
CVPR Burst denoising with kernel prediction networks - 94
CVPR Image Blind Denoising With Generative Adversarial Network Based Noise Modeling - 148
CVPR Universal Denoising Networks : A Novel CNN Architecture for Image Denoising Matlab 127
ECCV Deep burst denoising - 41
ECCV Deep boosting for image denoising - 27
ECCV A trilateral weighted sparse coding scheme for real-world image denoising - 88
ECCV Deep image demosaicking using a cascade of convolutional residual denoising networks - 33
IJCAI Connecting image denoising and high-level vision tasks via deep learning - 16
IJCAI When image denoising meets high-level vision tasks: A deep learning approach - 97
JVCIR RENOIR–A dataset for real low-light image noise reduction - 57
TCI Convolutional neural networks for noniterative reconstruction of compressively sensed images - 45
ACCV Dn-resnet: Efficient deep residual network for image denoising - 10
ICIP Image Denoising for Image Retrieval by Cascading a Deep Quality Assessment Network - 3
arxiv Correction by projection: Denoising images with generative adversarial networks - 29
arxiv Non-local video denoising by CNN Pytorch 15
arxiv Iterative residual network for deep joint image demosaicking and denoising - 9
arxiv Fully convolutional pixel adaptive image denoiser - 8
arxiv Fast, trainable, multiscale denoising - 4
arxiv Deep learning for image denoising: a survey - 40

2017

Publ Title Code Cite
TIP Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising - 2250
TIP Improved Denoising via Poisson Mixture Modeling of Image Sensor Noise - 14
TIP Reweighted Low-Rank Matrix Analysis with Structural Smoothness for Image Denoising - 22
TIP Category-specific object image denoising - 21
TIP Affine Non-Local Means Image Denoising - 24
CVPR Image Denoising via CNNs: An Adversarial Approach - 43
CVPR Non-local color image denoising with convolutional neural networks - 162
CVPR Learning Deep CNN Denoiser Prior for Image Restoration - 669
ICCV Learning Proximal Operators : Using Denoising Networks for Regularizing Inverse Imaging Problems - 130
ICCV Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising - 134
ICCV Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising - 29
ICCV Blob Reconstruction Using Unilateral Second Order Gaussian Kernels with Application to High-ISO Long-Exposure Image Denoising - 8
ICIP Image denoising using group sparsity residual and external nonlocal self-similarity prior - 6
arxiv Block-matching convolutional neural network for image denoising - 36
arxiv Learning pixel-distribution prior with wider convolution for image denoising Matlab 10
arxiv Chaining identity mapping modules for image denoising - 8
ICTAI Dilated deep residual network for image denoising - 34

before 2017

Year Publication Title Code Citation
2016 CVPR Deep Gaussian conditional random field network: A model-based deep network for discriminative denoising - 53
2016 CVPR From Noise Modeling to Blind Image Denoising - 44
2016 TIP Patch-based video denoising with optical flow estimation - 64
2016 ToG Deep joint demosaicking and denoising - 205
2016 ICASSP Fast depth image denoising and enhancement using a deep convolutional network - 41
2015 ICCV An efficient statistical method for image noise level estimation - 103
2015 TIP Image-specific prior adaptation for denoising - 16
2015 IPOL The noise clinic: a blind image denoising algorithm - 76
2014 TIP Practical signal-dependent noise parameter estimation from a single noisy image - 55
2014 - Photon, Poisson Noise - 67
2012 CVPR Image denoising: Can plain neural networks compete with BM3D? - 911
2012 ICIP The dominance of Poisson noise in color digital cameras - 22
2009 SP Clipped noisy images: Heteroskedastic modeling and practical denoising - 113
2008 TIP Practical Poissonian-Gaussian noise modeling and fitting for single-image raw-data Matlab 552
2007 TIP Image denoising by sparse 3-D transform-domain collaborative filtering - 6029
2007 TPAMI Automatic estimation and removal of noise from a single image - 520
2005 CVPR A non-local algorithm for image denoising - 6020
2019 Books CMOS: Circuit Design, Layout, and Simulation: Forth Edition - 4870
2018 Books Denoising of photographic images and video: fundamentals, open challenges and new trends - 5
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