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 34113420 of 7282 papers

TitleStatusHype
Guided Filter based Edge-preserving Image Non-blind Deconvolution0
How to Best Combine Demosaicing and Denoising?0
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model0
How to monitor and mitigate stair-casing in l1 trend filtering0
DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration0
Backdoor Attacks against Image-to-Image Networks0
How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control0
How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies0
Guided Diffusion Model for Sensor Data Obfuscation0
Deep Manifold Prior0
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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