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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–550 of 1220 papers

TitleStatusHype
SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions—0
Real-World Denoising via Diffusion Model—0
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising—0
A multimodal dynamical variational autoencoder for audiovisual speech representation learningCode0
H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization—0
Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network—0
Unsupervised Image Denoising with Score Function—0
EWT: Efficient Wavelet-Transformer for Single Image Denoising—0
MCDIP-ADMM: Overcoming Overfitting in DIP-based CT reconstruction—0
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic ImagingCode0
Self-Supervised Image Denoising for Real-World Images with Context-aware Transformer—0
Image Blind Denoising Using Dual Convolutional Neural Network with Skip ConnectionCode0
DCANet: Dual Convolutional Neural Network with Attention for Image Blind DenoisingCode0
HDR Imaging with Spatially Varying Signal-to-Noise Ratios—0
Steered Mixture of Experts Regression for Image Denoising with Multi-Model-Inference—0
Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration—0
Whole-body PET image denoising for reduced acquisition time—0
Pushing The Limits of the Wiener Filter in Image DenoisingCode0
Generalizable Denoising of Microscopy Images using Generative Adversarial Networks and Contrastive Learning—0
Zero-Shot Noise2Noise: Efficient Image Denoising without any Data—0
SUD^2: Supervision by Denoising Diffusion Models for Image Reconstruction—0
Blind2Sound: Self-Supervised Image Denoising without Residual Noise—0
Cloud K-SVD for Image DenoisingCode0
Spatial-Frequency Attention for Image Denoising—0
Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising—0
CUR Transformer: A Convolutional Unbiased Regional Transformer for Image DenoisingCode0
An Efficient and Robust Method for Chest X-Ray Rib Suppression that Improves Pulmonary Abnormality Diagnosis—0
Low Latency Video Denoising for Online Conferencing Using CNN Architectures—0
Explicit Diffusion of Gaussian Mixture Model Based Image Priors—0
A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocksCode0
QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired DataCode0
Diffusion Model for Generative Image Denoising—0
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond—0
NoiseTransfer: Image Noise Generation with Contrastive EmbeddingsCode0
Recent progress in image denoising: A training strategy perspective—0
FEUNet: a flexible and effective U-shaped network for image denoisingCode0
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --—0
Skip-Attention: Improving Vision Transformers by Paying Less Attention—0
Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image DenoisingCode0
Polarized Color Image Denoising—0
Iterative Denoiser and Noise Estimator for Self-Supervised Image Denoising—0
PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting—0
Group Sparse Coding for Image Denoising—0
Single Cell Training on Architecture Search for Image Denoising—0
Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised Tomographic Image Denoising—0
Learning to adapt unknown noise for hyperspectral image denoising—0
Domino Denoise: An Accurate Blind Zero-Shot Denoiser using Domino Tilings—0
Fast Algorithm for Constrained Linear Inverse ProblemsCode0
Quantum median filter for Total Variation image denoising—0
Linear Combinations of Patches are Unreasonably Effective for Single-Image DenoisingCode0
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All datasetsSIDDDNDELD SonyA7S2 x200SID SonyA7S2 x250ELD SonyA7S2 x100SID x100SID x300SID SonyA7S2 x100urban100 sigma15Urban100 sigma50BSD68 sigma50SID SonyA7S2 x300

Benchmark Results

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