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 15911600 of 7282 papers

TitleStatusHype
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