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 15911600 of 7282 papers

TitleStatusHype
Deep Equilibrium Approaches to Diffusion ModelsCode1
Automatically identifying ordinary differential equations from dataCode1
Adaptive Deep PnP Algorithm for Video Snapshot Compressive ImagingCode1
Str2Str: A Score-based Framework for Zero-shot Protein Conformation SamplingCode1
LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry PiCode1
Legacy Photo Editing with Learned Noise PriorCode1
Less is More: Reweighting Important Spectral Graph Features for RecommendationCode1
Solving Inverse Physics Problems with Score MatchingCode1
Accelerated MRI with Un-trained Neural NetworksCode1
A deep network for sinogram and CT image reconstructionCode1
Show:102550
← PrevPage 160 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