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 35913600 of 7282 papers

TitleStatusHype
Improving Implicit Feedback-Based Recommendation through Multi-Behavior AlignmentCode1
Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style TransferCode1
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
Stochastic Texture Filtering0
SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions0
3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data InversionCode1
Autoencoder-based prediction of ICU clinical codesCode0
DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration0
Multi-Scale Energy (MuSE) plug and play framework for inverse problems0
Real-World Denoising via Diffusion Model0
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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