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 44814490 of 7282 papers

TitleStatusHype
SUD^2: Supervision by Denoising Diffusion Models for Image Reconstruction0
Joint Multi-Scale Tone Mapping and Denoising for HDR Image EnhancementCode0
The Intel Neuromorphic DNS ChallengeCode0
Gradient flow on extensive-rank positive semi-definite matrix denoising0
ShabbyPages: A Reproducible Document Denoising and Binarization Dataset0
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion ModelsCode0
Subspace Hybrid Beamforming for Head-worn Microphone Arrays0
Generating symbolic music using diffusion modelsCode0
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion0
Towards Unsupervised Learning based Denoising of Cyber Physical System Data to Mitigate Security Concerns0
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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