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 721730 of 7282 papers

TitleStatusHype
DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh RecoveryCode1
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable DiffusionCode1
Modeling State Shifting via Local-Global Distillation for Event-Frame Gaze TrackingCode1
Binarized Low-light Raw Video EnhancementCode1
Diff-Reg v1: Diffusion Matching Model for Registration ProblemCode1
Ship in Sight: Diffusion Models for Ship-Image Super ResolutionCode1
DiffStyler: Diffusion-based Localized Image Style TransferCode1
Noise2Noise Denoising of CRISM Hyperspectral DataCode1
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image ReconstructionCode1
FusionINN: Decomposable Image Fusion for Brain Tumor MonitoringCode1
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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