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 36813690 of 7282 papers

TitleStatusHype
SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement0
On The Application Of Log Compression and Enhanced Denoising In Contrast Enhancement Of Digital Radiography Images0
MCDIP-ADMM: Overcoming Overfitting in DIP-based CT reconstruction0
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image SynthesisCode1
ChiroDiff: Modelling chirographic data with Diffusion Models0
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic ImagingCode0
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit ModelsCode1
Graph Collaborative Signals Denoising and Augmentation for RecommendationCode1
RoSteALS: Robust Steganography using Autoencoder Latent SpaceCode1
Diffusion Models as Masked AutoencodersCode0
Show:102550
← PrevPage 369 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