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 12411250 of 7282 papers

TitleStatusHype
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned GuidanceCode1
DETA: Denoised Task Adaptation for Few-Shot LearningCode1
Learning to Denoise Raw Mobile UI Layouts for Improving Datasets at ScaleCode1
Conditional score-based diffusion models for Bayesian inference in infinite dimensionsCode1
Conditional Simulation Using Diffusion Schrödinger BridgesCode1
Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural NetworksCode1
Classifier-free Guidance with Adaptive ScalingCode1
3D Shape Generation and Completion through Point-Voxel DiffusionCode1
3D molecule generation by denoising voxel gridsCode1
Show:102550
← PrevPage 125 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