SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5651–5675 of 7282 papers

TitleStatusHype
Dynamic Low-light Imaging with Quanta Image Sensors—0
Unsupervised Sketch to Photo Synthesis—0
Transformation Consistency Regularization – A Semi-Supervised Paradigm for Image-to-Image Translation—0
Regularization by Denoising via Fixed-Point Projection (RED-PRO)—0
Multi-Slice Fusion for Sparse-View and Limited-Angle 4D CT Reconstruction—0
Joint Low Dose CT Denoising And Kidney SegmentationCode1
Denoising individual bias for a fairer binary submatrix detectionCode0
Leverage Unlabeled Data for Abstractive Speech Summarization with Self-Supervised Learning and Back-Summarization—0
NormalGAN: Learning Detailed 3D Human from a Single RGB-D ImageCode1
Unnormalized Variational Bayes—0
Solving Linear Inverse Problems Using the Prior Implicit in a DenoiserCode1
Deep learning Framework for Mobile MicroscopyCode0
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural NetworksCode1
Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising—0
Sparse Nonnegative Tensor Factorization and Completion with Noisy Observations—0
Dynamic Low-light Imaging with Quanta Image Sensors—0
Graph topology inference benchmarks for machine learningCode0
Event Enhanced High-Quality Image RecoveryCode1
Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image TranslationCode1
Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis—0
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack—0
Unsupervised 3D Human Pose Representation with Viewpoint and Pose DisentanglementCode1
Spectrum-Guided Adversarial Disparity LearningCode0
Functions with average smoothness: structure, algorithms, and learning—0
Show:102550
← PrevPage 227 of 292Next →
All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified