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

Showing 15761600 of 7282 papers

TitleStatusHype
Unit Test Case Generation with Transformers and Focal ContextCode1
Adversarial score matching and improved sampling for image generationCode1
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data HidingCode1
Are Deep Neural Architectures Losing Information? Invertibility Is IndispensableCode1
Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User CommunicationsCode1
Open-set Adversarial DefenseCode1
Unpaired Learning of Deep Image DenoisingCode1
FLIP: A Difference Evaluator for Alternating ImagesCode1
Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applicationsCode1
Deep Variational Network Toward Blind Image RestorationCode1
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image PriorCode1
Improving Blind Spot Denoising for MicroscopyCode1
Homotopic Gradients of Generative Density Priors for MR Image ReconstructionCode1
Distantly Supervised Relation Extraction in Federated SettingsCode1
Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise SuppressionCode1
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection SystemsCode1
Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth DenoisingCode1
Joint Low Dose CT Denoising And Kidney SegmentationCode1
NormalGAN: Learning Detailed 3D Human from a Single RGB-D ImageCode1
Solving Linear Inverse Problems Using the Prior Implicit in a DenoiserCode1
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural NetworksCode1
Event Enhanced High-Quality Image RecoveryCode1
Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image TranslationCode1
Unsupervised 3D Human Pose Representation with Viewpoint and Pose DisentanglementCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified