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 28812890 of 7282 papers

TitleStatusHype
Convolution Type of Metaplectic Cohen's Distribution Time-Frequency Analysis Theory, Method and Technology0
6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation0
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness0
Feature Denoising Diffusion Model for Blind Image Quality Assessment0
Multi-Scale Denoising in the Feature Space for Low-Light Instance Segmentation0
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle0
Diffusion Transformer-based Universal Dose Denoising for Pencil Beam Scanning Proton Therapy0
Feature-guided score diffusion for sampling conditional densities0
Feature Learning from Incomplete EEG with Denoising Autoencoder0
Generating High-Resolution Regional Precipitation Using Conditional Diffusion Model0
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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