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 36713680 of 7282 papers

TitleStatusHype
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion ModelsCode1
Inhomogeneous graph trend filtering via a l2,0 cardinality penalty0
A comparative study between paired and unpaired Image Quality Assessment in Low-Dose CT DenoisingCode0
Diffusion Models for Constrained DomainsCode1
Diffusion Recommender ModelCode2
Pixel-wise Guidance for Utilizing Auxiliary Features in Monte Carlo DenoisingCode1
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion0
A Cheaper and Better Diffusion Language Model with Soft-Masked NoiseCode1
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image GenerationCode2
Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval0
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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