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 11711180 of 7282 papers

TitleStatusHype
D3A-TS: Denoising-Driven Data Augmentation in Time SeriesCode1
Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential EquationsCode1
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
Unified Discrete Diffusion for Categorical DataCode1
D2C: Diffusion-Denoising Models for Few-shot Conditional GenerationCode1
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic ModelsCode1
An Unsupervised Deep Learning Approach for Real-World Image DenoisingCode1
Improving Image Restoration through Removing Degradations in Textual RepresentationsCode1
High-quality Image Dehazing with Diffusion ModelCode1
CLEARER: Multi-Scale Neural Architecture Search for Image RestorationCode1
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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