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 20012010 of 7282 papers

TitleStatusHype
An algorithm for improving Non-Local Means operators via low-rank approximation0
Denoising ESG: quantifying data uncertainty from missing data with Machine Learning and prediction intervals0
DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration0
Denoising Enhanced Distantly Supervised Ultrafine Entity Typing0
DiffBrush:Just Painting the Art by Your Hands0
DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models0
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs0
Denoising ECG by Adaptive Filter with Empirical Mode Decomposition0
Bitwise Operations of Cellular Automaton on Gray-scale Images0
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models0
Show:102550
← PrevPage 201 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