SOTAVerified

Image Denoising

Image Denoising is a computer vision task that involves removing noise from an image. Noise can be introduced into an image during acquisition or processing, and can reduce image quality and make it difficult to interpret. Image denoising techniques aim to restore an image to its original quality by reducing or removing the noise, while preserving the important features of the image.

( Image credit: Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior )

Papers

Showing 251300 of 1220 papers

TitleStatusHype
Noise2Fast: Fast Self-Supervised Single Image Blind DenoisingCode1
Suppression of Correlated Noise with Similarity-based Unsupervised Deep LearningCode1
CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from ImageCode1
Multi-stage image denoising with the wavelet transformCode1
DCT2net: an interpretable shallow CNN for image denoisingCode1
Denoising: from classical methods to deep CNNsCode1
Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidenceCode1
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracyCode1
Neural Sparse Representation for Image RestorationCode1
NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark DatasetCode1
Disentangling Noise from Images: A Flow-Based Image Denoising Neural NetworkCode1
DDT: Dual-branch Deformable Transformer for Image DenoisingCode1
Probabilistic Noise2Void: Unsupervised Content-Aware DenoisingCode1
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game EncodingCode1
Asymmetric Mask Scheme for Self-Supervised Real Image DenoisingCode1
Decoupled Data Consistency with Diffusion Purification for Image RestorationCode1
Deep Audio Waveform PriorCode1
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-ExpertsCode1
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image RegistrationCode1
Noise2Inverse: Self-supervised deep convolutional denoising for tomographyCode1
CycleISP: Real Image Restoration via Improved Data SynthesisCode1
Deep Convolutional Dictionary Learning for Image DenoisingCode1
Deformed2Self: Self-Supervised Denoising for Dynamic Medical ImagingCode1
Fully Convolutional Pixel Adaptive Image DenoiserCode1
AKDT: Adaptive Kernel Dilation Transformer for Effective Image DenoisingCode1
Dual Adversarial Network: Toward Real-world Noise Removal and Noise GenerationCode1
NM-FlowGAN: Modeling sRGB Noise without Paired Images using a Hybrid Approach of Normalizing Flows and GANCode1
Noise2Void - Learning Denoising from Single Noisy ImagesCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
On-Demand Learning for Deep Image RestorationCode1
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT DenoisingCode1
Hypernetwork-Based Adaptive Image RestorationCode1
Physics-guided Noise Neural Proxy for Practical Low-light Raw Image DenoisingCode1
Deep Image PriorCode1
EdiBERT, a generative model for image editingCode1
Spatially Adaptive Self-Supervised Learning for Real-World Image DenoisingCode1
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature DenoiserCode0
CUR Transformer: A Convolutional Unbiased Regional Transformer for Image DenoisingCode0
Multiscale Sparsifying Transform Learning for Image DenoisingCode0
Multi-level Wavelet-CNN for Image RestorationCode0
Multi-level Wavelet Convolutional Neural NetworksCode0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
Modular proximal optimization for multidimensional total-variation regularizationCode0
Mixed Graph Signal Analysis of Joint Image Denoising / InterpolationCode0
Model-Based Image Signal Processors via Learnable DictionariesCode0
Convolutional versus Self-Organized Operational Neural Networks for Real-World Blind Image DenoisingCode0
Lightweight network towards real-time image denoising on mobile devicesCode0
Medical image denoising using convolutional denoising autoencodersCode0
Multi-Kernel Prediction Networks for Denoising of Burst ImagesCode0
Convolutional Neural Networks Can Be Deceived by Visual IllusionsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CGNetPSNR (sRGB)40.39Unverified
2KBNetPSNR (sRGB)40.35Unverified
3NAFNetPSNR (sRGB)40.3Unverified
4SSAMANPSNR (sRGB)40.08Unverified
5PNGANPSNR (sRGB)40.07Unverified
6RestormerPSNR (sRGB)40.02Unverified
7HINetPSNR (sRGB)39.99Unverified
8MAXIM-3SPSNR (sRGB)39.96Unverified
9Uformer-BPSNR (sRGB)39.89Unverified
10SRMNetPSNR (sRGB)39.72Unverified
#ModelMetricClaimedVerifiedStatus
1DualDnPSNR (sRGB)40.59Unverified
2PNGANPSNR (sRGB)40.18Unverified
3SSAMANPSNR (sRGB)40.05Unverified
4RestormerPSNR (sRGB)40.03Unverified
5Uformer-BPSNR (sRGB)39.98Unverified
6NBNetPSNR (sRGB)39.89Unverified
7MIRNetPSNR (sRGB)39.88Unverified
8MAXIM-3SPSNR (sRGB)39.84Unverified
9MPRNetPSNR (sRGB)39.8Unverified
10SADNetPSNR (sRGB)39.59Unverified
#ModelMetricClaimedVerifiedStatus
1LLD*PSNR (Raw)44.95Unverified
2PMNPSNR (Raw)44.51Unverified
3SFRNPSNR (Raw)44.1Unverified
4LLDPSNR (Raw)43.84Unverified
5ELDPSNR (Raw)43.43Unverified
6LRDPSNR (Raw)43.32Unverified
7Paired Data(SID)PSNR (Raw)41.97Unverified
8StarlightPSNR (Raw)40.86Unverified
9ExposureDiffusion (UNet+ELD)PSNR (Raw)40.39Unverified
10Noise FlowPSNR (Raw)39.23Unverified
#ModelMetricClaimedVerifiedStatus
1LLD*PSNR (Raw)41.02Unverified
2PMNPSNR (Raw)40.92Unverified
3SFRNPSNR (Raw)40.22Unverified
4LLDPSNR (Raw)39.76Unverified
5Paired Data (SID)PSNR (Raw)39.6Unverified
6ELDPSNR (Raw)39.44Unverified
7LEDPSNR (Raw)39.34Unverified
8LRDPSNR (Raw)39.25Unverified
9StarlightPSNR (Raw)36.25Unverified
10Noise FlowPSNR (Raw)35.8Unverified
#ModelMetricClaimedVerifiedStatus
1LLD*PSNR (Raw)46.74Unverified
2PMNPSNR (Raw)46.5Unverified
3SFRNPSNR (Raw)46.02Unverified
4LLDPSNR (Raw)45.61Unverified
5ELDPSNR (Raw)45.45Unverified
6LRDPSNR (Raw)44.95Unverified
7Paired Data(SID)PSNR (Raw)44.47Unverified
8StarlightPSNR (Raw)43.8Unverified
9Noise FlowPSNR (Raw)41.05Unverified
#ModelMetricClaimedVerifiedStatus
1LLD*PSNR (Raw)43.36Unverified
2PMNPSNR (Raw)43.16Unverified
3SFRNPSNR (Raw)42.29Unverified
4LLDPSNR (Raw)42.1Unverified
5SID (paired real data)PSNR (Raw)42.06Unverified
6ELDPSNR (Raw)41.95Unverified
7StarlightPSNR (Raw)40.47Unverified
8Noise FlowPSNR (Raw)38.89Unverified
#ModelMetricClaimedVerifiedStatus
1LLD*PSNR (Raw)37.8Unverified
2PMNPSNR (Raw)37.77Unverified
3SFRNPSNR (Raw)36.87Unverified
4Paired Data(SID)PSNR (Raw)36.85Unverified
5LLDPSNR (Raw)36.76Unverified
6ELDPSNR (Raw)36.36Unverified
7StarlightPSNR (Raw)32.99Unverified
8Noise FlowPSNR (Raw)32.29Unverified
#ModelMetricClaimedVerifiedStatus
1PMNPSNR (Raw)43.16Unverified
2SFRNPSNR (Raw)42.29Unverified
3LEDPSNR (Raw)41.98Unverified
4ELDPSNR (Raw)41.95Unverified
5LRDPSNR (Raw)41.95Unverified
#ModelMetricClaimedVerifiedStatus
1AKDTAverage PSNR35.64Unverified
2MaIR+PSNR35.42Unverified
3MaIRPSNR35.35Unverified
4SCUNet SCUNetAverage PSNR35.18Unverified
#ModelMetricClaimedVerifiedStatus
1MaIR+PSNR30.41Unverified
2MaIRPSNR30.3Unverified
3SCUNet SCUNetPSNR30.14Unverified
4AKDTPSNR29.82Unverified
#ModelMetricClaimedVerifiedStatus
1MaIR+PSNR30.08Unverified
2MaIRPSNR28.66Unverified
#ModelMetricClaimedVerifiedStatus
1LEDPSNR (Raw)36.67Unverified
2LRDPSNR (Raw)36.03Unverified
#ModelMetricClaimedVerifiedStatus
1MaIR+PSNR33.3Unverified
2MaIRPSNR33.22Unverified
#ModelMetricClaimedVerifiedStatus
1R3LPSNR27.67Unverified
#ModelMetricClaimedVerifiedStatus
1BRGMLPIPS0.24Unverified
#ModelMetricClaimedVerifiedStatus
1BRGMLPIPS0.24Unverified
#ModelMetricClaimedVerifiedStatus
1ExposureDiffusion (UNet+paired data)PSNR (Raw)36.82Unverified
#ModelMetricClaimedVerifiedStatus
1PNGANPSNR40.78Unverified
#ModelMetricClaimedVerifiedStatus
1PNGANPSNR40.55Unverified
#ModelMetricClaimedVerifiedStatus
1absDLODRMSE0.07Unverified