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 39513960 of 7282 papers

TitleStatusHype
Recent progress in image denoising: A training strategy perspective0
Impact of PCA-based preprocessing and different CNN structures on deformable registration of sonograms0
Regular Time-series Generation using SGM0
Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models0
Fast Inference in Denoising Diffusion Models via MMD FinetuningCode1
The role of noise in denoising models for anomaly detection in medical imagesCode1
Representing Noisy Image Without DenoisingCode1
Denoising Diffusion Probabilistic Models as a Defense against Adversarial AttacksCode0
Online Filtering over Expanding Graphs0
FEUNet: a flexible and effective U-shaped network for image denoisingCode0
Show:102550
← PrevPage 396 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