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
Denoising Normalizing FlowCode1
Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential EquationsCode1
Diffusion Models Beat GANs on Image ClassificationCode1
Diffusion Models for Black-Box OptimizationCode1
Unsupervised Sketch-to-Photo SynthesisCode1
Conditional Consistency Guided Image Translation and EnhancementCode1
Denoising Multi-Source Weak Supervision for Neural Text ClassificationCode1
Diffusion Models for Medical Anomaly DetectionCode1
Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidenceCode1
Denoising Masked AutoEncoders Help Robust ClassificationCode1
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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