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 36113620 of 7282 papers

TitleStatusHype
Autonomous Point Cloud Segmentation for Power Lines Inspection in Smart Grid0
Improved Detection of Adversarial Images Using Deep Neural Networks0
A Light Label Denoising Method with the Internal Data Guidance0
Graffe: Graph Representation Learning via Diffusion Probabilistic Models0
Gradual training of deep denoising auto encoders0
Improved functional MRI activation mapping in white matter through diffusion-adapted spatial filtering0
Gradual Training Method for Denoising Auto Encoders0
Gradpaint: Gradient-Guided Inpainting with Diffusion Models0
Gradient Statistics Aware Power Control for Over-the-Air Federated Learning0
Gradient-Guided Conditional Diffusion Models for Private Image Reconstruction: Analyzing Adversarial Impacts of Differential Privacy and Denoising0
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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