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 28812890 of 7282 papers

TitleStatusHype
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising ApproachCode0
DDPET-3D: Dose-aware Diffusion Model for 3D Ultra Low-dose PET ImagingCode0
Reducing Spatial Fitting Error in Distillation of Denoising Diffusion ModelsCode0
3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion0
Image Restoration via Frequency SelectionCode1
Cross-Image Attention for Zero-Shot Appearance Transfer0
Zero-Shot Enhancement of Low-Light Image Based on Retinex DecompositionCode0
Robust Generalization Strategies for Morpheme Glossing in an Endangered Language Documentation Context0
Contrastive Multi-Modal Representation Learning for Spark Plug Fault Diagnosis0
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot ClassificationCode1
Show:102550
← PrevPage 289 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