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 24112420 of 7282 papers

TitleStatusHype
Generative AI in Vision: A Survey on Models, Metrics and Applications0
Photon-counting CT using a Conditional Diffusion Model for Super-resolution and Texture-preservation0
Diffusion Posterior Proximal Sampling for Image RestorationCode1
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion ModelsCode2
Frustratingly Simple Prompting-based Text Denoising0
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style TransferCode0
Pretraining Strategy for Neural PotentialsCode0
A Study of Shape Modeling Against Noise0
Label-efficient Multi-organ Segmentation Method with Diffusion Model0
Seamless Human Motion Composition with Blended Positional EncodingsCode3
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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