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 32013210 of 7282 papers

TitleStatusHype
Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial BranchesCode1
ModelScope Text-to-Video Technical ReportCode3
Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation0
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance FlowCode2
Illumination and Shadows in Head Rotation: experiments with Denoising Diffusion Models0
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE SolversCode1
Masked Diffusion as Self-supervised Representation LearnerCode1
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms0
Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image DenoisingCode1
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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