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 14011410 of 7282 papers

TitleStatusHype
An Analysis and Implementation of the HDR+ Burst Denoising MethodCode1
MAAD: A Model and Dataset for "Attended Awareness" in DrivingCode1
Toward Degradation-Robust Voice ConversionCode1
Rethinking Noise Synthesis and Modeling in Raw DenoisingCode1
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising LearningCode1
Score-based diffusion models for accelerated MRICode1
Burst Image Restoration and EnhancementCode1
On audio enhancement via online non-negative matrix factorizationCode1
Generative Modeling with Optimal Transport MapsCode1
Adaptive Unfolding Total Variation Network for Low-Light Image EnhancementCode1
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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