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 26612670 of 7282 papers

TitleStatusHype
Generalized Laplacian Regularized Framelet Graph Neural NetworksCode0
A Diffusion Model for Event Skeleton GenerationCode0
Generalized Robust Fundus Photography-based Vision Loss Estimation for High MyopiaCode0
Generalized Deep Image to Image RegressionCode0
A comparative study between paired and unpaired Image Quality Assessment in Low-Dose CT DenoisingCode0
Generalized Denoising Auto-Encoders as Generative ModelsCode0
Generalization through variance: how noise shapes inductive biases in diffusion modelsCode0
Anomaly Detection and Prototype Selection Using Polyhedron CurvatureCode0
Diffusion Models with Deterministic Normalizing Flow PriorsCode0
Diffusion models under low-noise regimeCode0
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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