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 201–250 of 1220 papers

TitleStatusHype
Progressive Multi-task Anti-Noise Learning and Distilling Frameworks for Fine-grained Vehicle RecognitionCode1
Adaptive Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising and Destriping—0
Two-stage Progressive Residual Dense Attention Network for Image DenoisingCode0
Boosting of Implicit Neural Representation-based Image DenoiserCode1
Robust single-particle cryo-EM image denoising and restoration—0
Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising—0
CoDe: An Explicit Content Decoupling Framework for Image Restoration—0
Real-World Mobile Image Denoising Dataset with Efficient BaselinesCode2
Robust Image Denoising through Adversarial Frequency MixupCode1
Z*: Zero-shot Style Transfer via Attention ReweightingCode2
Revisiting Nonlocal Self-Similarity from Continuous Representation—0
Hyperspectral Image Denoising via Spatial-Spectral Recurrent TransformerCode0
Natural Adversarial Patch Generation Method Based on Latent Diffusion Model—0
Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation—0
NM-FlowGAN: Modeling sRGB Noise without Paired Images using a Hybrid Approach of Normalizing Flows and GANCode1
Tell Me What You See: Text-Guided Real-World Image Denoising—0
PPFM: Image denoising in photon-counting CT using single-step posterior sampling Poisson flow generative modelsCode1
ReCoRe: Regularized Contrastive Representation Learning of World Model—0
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-ExpertsCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
Prompt-In-Prompt Learning for Universal Image RestorationCode1
Self-supervised OCT Image Denoising with Slice-to-Slice Registration and ReconstructionCode0
TDiffDe: A Truncated Diffusion Model for Remote Sensing Hyperspectral Image Denoising—0
SDDPM: Speckle Denoising Diffusion Probabilistic Models—0
Back to Basics: Fast Denoising Iterative Algorithm—0
L-WaveBlock: A Novel Feature Extractor Leveraging Wavelets for Generative Adversarial Networks—0
LuminanceL1Loss: A loss function which measures percieved brightness and colour differences—0
DDPET-3D: Dose-aware Diffusion Model for 3D Ultra Low-dose PET ImagingCode0
Image Restoration via Frequency SelectionCode1
Zero-Shot Enhancement of Low-Light Image Based on Retinex DecompositionCode0
Thermal Face Image Classification using Deep Learning Techniques—0
Product of Gaussian Mixture Diffusion ModelsCode0
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image DenoisingCode1
A cross Transformer for image denoisingCode1
Physics-guided Noise Neural Proxy for Practical Low-light Raw Image DenoisingCode1
Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging NoiseCode1
Crowd Counting in Harsh Weather using Image Denoising with Pix2Pix GANs—0
Uni-paint: A Unified Framework for Multimodal Image Inpainting with Pretrained Diffusion ModelCode1
ViTs are Everywhere: A Comprehensive Study Showcasing Vision Transformers in Different Domain—0
Generalization in diffusion models arises from geometry-adaptive harmonic representationsCode1
Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising—0
Controlling Vision-Language Models for Multi-Task Image RestorationCode2
JPEG Information Regularized Deep Image Prior for Denoising—0
Uncertainty Quantification via Neural Posterior Principal Components—0
DONNAv2 -- Lightweight Neural Architecture Search for Vision tasks—0
Image Denoising via Style Disentanglement—0
On the Posterior Distribution in Denoising: Application to Uncertainty QuantificationCode1
Connecting Image Inpainting with Denoising in the Homogeneous Diffusion Setting—0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
Show:102550
← PrevPage 5 of 25Next →
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
10MIRNetPSNR (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