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 961970 of 7282 papers

TitleStatusHype
Learn from Unpaired Data for Image Restoration: A Variational Bayes ApproachCode1
Learning A Coarse-to-Fine Diffusion Transformer for Image RestorationCode1
Boosting of Implicit Neural Representation-based Image DenoiserCode1
Learning Deformable Kernels for Image and Video DenoisingCode1
Learning Enriched Features for Real Image Restoration and EnhancementCode1
Learning from Rules Generalizing Labeled ExemplarsCode1
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image RestorationCode1
Learning multi-scale local conditional probability models of imagesCode1
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy ReconstructionCode1
A Conditional Diffusion Model for Electrical Impedance Tomography Image ReconstructionCode1
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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