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 741750 of 7282 papers

TitleStatusHype
Decoupled Data Consistency with Diffusion Purification for Image RestorationCode1
Privacy-Preserving Diffusion Model Using Homomorphic EncryptionCode1
DiffSF: Diffusion Models for Scene Flow EstimationCode1
SSDRec: Self-Augmented Sequence Denoising for Sequential RecommendationCode1
On the Asymptotic Mean Square Error Optimality of Diffusion ModelsCode1
TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model EncodingsCode1
Listening to the Noise: Blind Denoising with Gibbs DiffusionCode1
Purified and Unified Steganographic NetworkCode1
Label-Noise Robust Diffusion ModelsCode1
Diffusion Posterior Proximal Sampling for Image RestorationCode1
Show:102550
← PrevPage 75 of 729Next →

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