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

• SIDD, CVPR 2018, citation 256
  • A High-Quality Denoising Dataset for Smartphone Cameras
  • Matlab
• RENOIR, JVCIR 2018, citation 106
  • RENOIR–A dataset for real low-light image noise reduction
  • broken dataset link
• PolyU, arxiv 2018, citation 108
  • Real-world Noisy Image Denoising: A New Benchmark
  • Matlab
• SID, CVPR 2018, citation 595
  • Learning to see in the dark
  • Tensorflow
• DND, CVPR 2017, citation 296
  • Benchmarking Denoising Algorithms with Real Photographs
  • homepage
• NaM, CVPR 2016, citation 148
  • A Holistic Approach to Cross-Channel Image Noise Modeling and its Application to Image Denoising|

self-supervised denoising

video denoising

• Unsupervised deep video denoising
  • ICCV 2021, UDVD
• Recurrent Self-Supervised Video Denoising with Denser Receptive Field
  • ACM MM 2023, code

image denoising

Index	Year	Pub	Title	cite
1	2018	ICML	Noise2Noise: Learning image restoration without clean data	1236
2	2019	CVPR	Noise2void-learning denoising from single noisy images	748
3	2019	ICML	Noise2self: Blind denoising by self-supervision	441
4	2019	NeurIPS	High-quality self-supervised deep image denoising	247
5	2019	arxiv	Unsupervised image noise modeling with self-consistent GAN	13
6	2020	Frontiers in Computer Science	Probabilistic noise2void: Unsupervised content-aware denoising	119
7	2020	TIP	Noisy-as-clean: Learning self-supervised denoising from corrupted image	112
8	2020	CVPR	Self2self with dropout: Learning self-supervised denoising from single image	201
9	2020	CVPR	Noisier2noise: Learning to denoise from unpaired noisy data	125
10	2020	NeurIPS	Noise2Same: Optimizing a self-supervised bound for image denoising	57
11	2021	NeurIPS	Noise2score: tweedie's approach to self-supervised image denoising without clean images	32
12	2021	CVPR	Neighbor2neighbor: Self-supervised denoising from single noisy images	135
13	2021	CVPR	Recorrupted-to-recorrupted: unsupervised deep learning for image denoising	85
14	2022	TIP	Neighbor2Neighbor: A Self-Supervised Framework for Deep Image Denoising	7
15	2022	CVPR	Ap-bsn: Self-supervised denoising for real-world images via asymmetric pd and blind-spot network	27
16	2022	CVPR	CVF-SID: Cyclic multi-variate function for self-supervised image denoising by disentangling noise from image	20
17	2022	CVPR	Self-supervised deep image restoration via adaptive stochastic gradient langevin dynamics	7
18	2022	CVPR	Noise distribution adaptive self-supervised image denoising using tweedie distribution and score matching	5
19	2022	CVPR	Blind2unblind: Self-supervised image denoising with visible blind spots	29
20	2022	CVPR	Idr: Self-supervised image denoising via iterative data refinement	22
21	2023	CVPR	Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising	1
22	2023	CVPR	LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising	0
23	2023	CVPR	Zero-Shot Noise2Noise: Efficient Image Denoising Without Any Data	1
24	2023	CVPR	Patch-Craft Self-Supervised Training for Correlated Image Denoising
25	2023	arxiv	Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review
26	2023	ICCV	Random Sub-Samples Generation for Self-Supervised Real Image Denoising
27	2023	ICCV	Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising
28	2023	ICCV	Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches

by year

2020

Pub	Title	Code	Cite
TIP	Noisy-As-Clean: Learning Self-supervised Denoising from Corrupted Image	Pytorch	47
TIP	Blind universal Bayesian image denoising with Gaussian noise level learning	-	43
TIP	Learning Deformable Kernels for Image and Video Denoising	-	24
TIP	Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising	-	10
TIP	Deep Graph-Convolutional Image Denoising	-	64
TIP	NLH : A Blind Pixel-level Non-local Method for Real-world Image Denoising	-	34
TIP	Image Denoising via Sequential Ensemble Learning	-	13
TIP	Connecting Image Denoising and High-Level Vision Tasks via Deep Learning	-	70
CVPR	Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising	-	33
CVPR	A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising	Pytorch	50
CVPR	Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes	Pytorch	26
CVPR	Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization	-	60
CVPR	Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image	-	73
CVPR	Noisier2Noise: Learning to Denoise From Unpaired Noisy Data	-	40
CVPR	Joint Demosaicing and Denoising With Self Guidance	-	26
CVPR	FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation	-	72
CVPR	CycleISP: Real Image Restoration via Improved Data Synthesis	Pytorch	93
CVPR	Basis Prediction Networks for Effective Burst Denoising With Large Kernels	-	18
CVPR	Superkernel Neural Architecture Search for Image Denoising	-	5
ECCV	Spatial-Adaptive Network for Single Image Denoising	-	34
ECCV	A Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images	-	3
ECCV	Burst Denoising via Temporally Shifted Wavelet Transforms	-	0
ECCV	Unpaired Learning of Deep Image Denoising	Pytorch	24
ECCV	Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation	Pytorch	39
ECCV	Learning Camera-Aware Noise Models	Pytorch	9
ECCV	Practical Deep Raw Image Denoising on Mobile Devices	MegEngine	15
ECCV	Reconstructing the Noise Manifold for Image Denoising	-	2
NN	Deep Learning on Image Denoising : An Overview	-	247
WACV	Identifying recurring patterns with deep neural networks for natural image denoising	-	11
ICASSP	Attention Mechanism Enhanced Kernel Prediction Networks for Denoising of Burst Images	Pytorch	4
Arxiv	Low-light Image Restoration with Short- and Long-exposure Raw Pairs	-	6

2019

Pub	Title	Code	Cite
TIP	Optimal combination of image denoisers	-	13
TIP	High ISO JPEG Image Denoising by Deep Fusion of Collaborative and Convolutional Filtering	-	6
TIP	Texture variation adaptive image denoising with nonlocal PCA	-	11
TIP	Color Image and Multispectral Image Denoising Using Block Diagonal Representation	-	7
TIP	Tchebichef and Adaptive Steerable-Based Total Variation Model for Image Denoising	-	23
TIP	Iterative Joint Image Demosaicking and Denoising Using a Residual Denoising Network	-	55
TIP	Content-Adaptive Noise Estimation for Color Images with Cross-Channel Noise Modeling	-	4
TPAMI	Real-world Image Denoising with Deep Boosting	Tensorflow	29
JVCIR	Vst-net: Variance-stabilizing transformation inspired network for poisson denoising	Matlab	14
NIPS	Variational Denoising Network: Toward Blind Noise Modeling and Removal	-	110
NIPS	High-Quality Self-Supervised Deep Image Denoising	-	138
ICML	Noise2Self: Blind Denoising by Self-Supervision	Pytorch	244
ICML	Plug-and-play methods provably converge with properly trained denoisers	-	125
CVPR	Unsupervised Domain Adaptation for ToF Data Denoising with Adversarial Learning	-	26
CVPR	Robust Subspace Clustering with Independent and Piecewise Identically Distributed Noise Modeling	-	15
CVPR	Toward convolutional blind denoising of real photographs	Matlab	458
CVPR	FOCNet: A Fractional Optimal Control Network for Image Denoising	-	62
CVPR	Noise2void-learning denoising from single noisy images	-	406
CVPR	Unprocessing images for learned raw denoising	-	186
CVPR	Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior	-	28
CVPR	Model-blind video denoising via frame-to-frame training	other	44
ICCV	Self-Guided Network for Fast Image Denoising	-	78
ICCV	Noise flow: Noise modeling with conditional normalizing flows	-	74
ICCV	Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images	-	34
ICCV	Fully Convolutional Pixel Adaptive Image Denoiser	Keras	27
ICCV	Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise	-	14
ICCV	CIIDefence: Defeating Adversarial Attacks by Fusing Class-Specific Image Inpainting and Image Denoising	-	21
ICCV	Real Image Denoising with Feature Attention	-	192
CVPRW	GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling	-	65
CVPRW	Learning raw image denoising with bayer pattern unification and bayer preserving augmentation	-	29
CVPRW	Deep iterative down-up CNN for image denoising	-	69
CVPRW	Densely Connected Hierarchical Network for Image Denoising	-	55
CVPRW	ViDeNN: Deep Blind Video Denoising	-	42
CVPRW	Real Photographs Denoising With Noise Domain Adaptation and Attentive Generative Adversarial Network	-	15
CVPRW	Learning Deep Image Priors for Blind Image Denoising	-	4
ICIP	DVDnet: A fast network for deep video denoising	Pytorch	45
ICIP	Multi-kernel prediction networks for denoising of burst images	-	17
ICIP	A non-local cnn for video denoising	-	31
AAAI	Adaptation Strategies for Applying AWGN-based Denoiser to Realistic Noise	-	4
arxiv	When AWGN-based Denoiser Meets Real Noises	Pytorch	29
arxiv	Generating training data for denoising real rgb images via camera pipeline simulation	-	19
arxiv	Learning Deformable Kernels for Image and Video Denoising	-	24
arxiv	Gan2gan: Generative noise learning for blind image denoising with single noisy images	-	12

2018

Pub	Title	Code	Cite
TIP	Weighted Tensor Rank-1 Decomposition for Nonlocal Image Denoising	-	19
TIP	Towards Optimal Denoising of Image Contrast	-	8
TIP	Time-of-Flight Range Measurement in Low- sensing Environment : Noise Analysis and Complex-domain Non-local Denoising	-	10
TIP	Statistical Nearest Neighbors for Image Denoising	-	29
TIP	Joint Denoising / Compression of Image Contours via Shape Prior and Context Tree	-	5
TIP	Image Restoration by Iterative Denoising and Backward Projections	-	110
TIP	Corrupted reference image quality assessment of denoised images	-	11
TIP	FFDNet: Toward a fast and flexible solution for CNN-based image denoising	Matlab	1103
TIP	External prior guided internal prior learning for real-world noisy image denoising	-	92
TIP	Class-aware fully convolutional Gaussian and Poisson denoising	Tensorflow	54
TIP	VIDOSAT: High-dimensional sparsifying transform learning for online video denoising	-	23
TIP	Effective and fast estimation for image sensor noise via constrained weighted least squares	-	20
ToG	Denoising with kernel prediction and asymmetric loss functions	-	106
TMM	Gradient prior-aided cnn denoiser with separable convolution-based optimization of feature dimension	-	22
NIPS	Training deep learning based denoisers without ground truth data	-	75
ICML	Noise2Noise: Learning Image Restoration without Clean Data	-	758
CVPR	Burst denoising with kernel prediction networks	-	224
CVPR	Image Blind Denoising With Generative Adversarial Network Based Noise Modeling	-	352
CVPR	Universal Denoising Networks : A Novel CNN Architecture for Image Denoising	Matlab	209
ECCV	Deep burst denoising	-	74
ECCV	Deep boosting for image denoising	-	50
ECCV	A trilateral weighted sparse coding scheme for real-world image denoising	-	180
ECCV	Deep image demosaicking using a cascade of convolutional residual denoising networks	-	68
IJCAI	Connecting image denoising and high-level vision tasks via deep learning	-	70
IJCAI	When image denoising meets high-level vision tasks: A deep learning approach	-	160
JVCIR	RENOIR–A dataset for real low-light image noise reduction	-	106
TCI	Convolutional neural networks for noniterative reconstruction of compressively sensed images	-	83
ACCV	Dn-resnet: Efficient deep residual network for image denoising	-	22
ICIP	Image Denoising for Image Retrieval by Cascading a Deep Quality Assessment Network	-	9
arxiv	Correction by projection: Denoising images with generative adversarial networks	-	47
arxiv	Non-local video denoising by CNN	Pytorch	31
arxiv	Iterative residual network for deep joint image demosaicking and denoising	-	9
arxiv	Fully convolutional pixel adaptive image denoiser	-	27
arxiv	Fast, trainable, multiscale denoising	-	6
arxiv	Deep learning for image denoising: a survey	-	90

2017

Publ	Title	Code	Cite
TIP	Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising	-	4387
TIP	Improved Denoising via Poisson Mixture Modeling of Image Sensor Noise	-	29
TIP	Reweighted Low-Rank Matrix Analysis with Structural Smoothness for Image Denoising	-	40
TIP	Category-specific object image denoising	-	31
TIP	Affine Non-Local Means Image Denoising	-	39
CVPR	Image Denoising via CNNs: An Adversarial Approach	-	71
CVPR	Non-local color image denoising with convolutional neural networks	-	274
CVPR	Learning Deep CNN Denoiser Prior for Image Restoration	-	1277
ICCV	Learning Proximal Operators : Using Denoising Networks for Regularizing Inverse Imaging Problems	-	246
ICCV	Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising	-	230
ICCV	Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising	-	40
ICCV	Blob Reconstruction Using Unilateral Second Order Gaussian Kernels with Application to High-ISO Long-Exposure Image Denoising	-	10
ICIP	Image denoising using group sparsity residual and external nonlocal self-similarity prior	-	7
arxiv	Block-matching convolutional neural network for image denoising	-	50
arxiv	Learning pixel-distribution prior with wider convolution for image denoising	Matlab	19
arxiv	Chaining identity mapping modules for image denoising	-	12
ICTAI	Dilated deep residual network for image denoising	-	73

before 2017

Year	Publication	Title	Code	Citation
2016	CVPR	Deep Gaussian conditional random field network: A model-based deep network for discriminative denoising	-	68
2016	CVPR	From Noise Modeling to Blind Image Denoising	-	67
2016	TIP	Patch-based video denoising with optical flow estimation	-	99
2016	ToG	Deep joint demosaicking and denoising	-	336
2016	ICASSP	Fast depth image denoising and enhancement using a deep convolutional network	-	62
2015	ICCV	An efficient statistical method for image noise level estimation	-	184
2015	TIP	Image-specific prior adaptation for denoising	-	19
2015	IPOL	The noise clinic: a blind image denoising algorithm	-	112
2014	TIP	Practical signal-dependent noise parameter estimation from a single noisy image	-	86
2014	-	Photon, Poisson Noise	-	107
2012	CVPR	Image denoising: Can plain neural networks compete with BM3D?	-	1246
2012	ICIP	The dominance of Poisson noise in color digital cameras	-	29
2009	SP	Clipped noisy images: Heteroskedastic modeling and practical denoising	-	129
2008	TIP	Practical Poissonian-Gaussian noise modeling and fitting for single-image raw-data	Matlab	723
2007	TIP	Image denoising by sparse 3-D transform-domain collaborative filtering	-	7357
2007	TPAMI	Automatic estimation and removal of noise from a single image	-	599
2005	CVPR	A non-local algorithm for image denoising	-	7477
2019	Books	CMOS: Circuit Design, Layout, and Simulation: Forth Edition	-	5390
2018	Books	Denoising of photographic images and video: fundamentals, open challenges and new trends	-	14