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 25212530 of 7282 papers

TitleStatusHype
DDRM-PR: Fourier Phase Retrieval using Denoising Diffusion Restoration Models0
A-IDE : Agent-Integrated Denoising Experts0
Exploring User-level Gradient Inversion with a Diffusion Prior0
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion0
DDPM Score Matching and Distribution Learning0
A Tunable Despeckling Neural Network Stabilized via Diffusion Equation0
DDPM based X-ray Image Synthesizer0
Learning to adapt unknown noise for hyperspectral image denoising0
Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection0
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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