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 46214630 of 7282 papers

TitleStatusHype
Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image DenoisingCode0
Innovating Real Fisheye Image Correction with Dual Diffusion Architecture0
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training0
Locating Noise is Halfway Denoising for Semi-Supervised Segmentation0
Fingerprinting Deep Image Restoration Models0
NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views0
Polarized Color Image Denoising0
Hair and Scalp Disease Detection using Machine Learning and Image Processing0
DIVA: Deep Unfolded Network from Quantum Interactive Patches for Image Restoration0
Blind Restoration of Real-World Audio by 1D Operational GANsCode0
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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