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 37713780 of 7282 papers

TitleStatusHype
Diff-UNet: A Diffusion Embedded Network for Volumetric SegmentationCode1
Data-Centric Learning from Unlabeled Graphs with Diffusion ModelCode1
Image Statistics Predict the Sensitivity of Perceptual Quality Metrics0
Adversarial Counterfactual Visual ExplanationsCode1
Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness0
Denoising Diffusion Autoencoders are Unified Self-supervised LearnersCode1
DS-Fusion: Artistic Typography via Discriminated and Stylized DiffusionCode1
SUD^2: Supervision by Denoising Diffusion Models for Image Reconstruction0
Denoising Diffusion Post-Processing for Low-Light Image EnhancementCode1
Gradient flow on extensive-rank positive semi-definite matrix denoising0
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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