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 12111220 of 7282 papers

TitleStatusHype
Denoising diffusion models for out-of-distribution detectionCode1
Self-Supervised Image Restoration with Blurry and Noisy PairsCode1
A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal RecommendationCode1
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud LearningCode1
From Denoising Diffusions to Denoising Markov ModelsCode1
DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic LanguagesCode1
A Simple and Robust Correlation Filtering Method for Text-based Person SearchCode1
Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMMCode1
On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT SettingCode1
Intelligent Painter: Picture Composition With Resampling Diffusion ModelCode1
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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