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

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Showing 3941–3950 of 7282 papers

TitleStatusHype
Diffusion Denoising for Low-Dose-CT Model—0
Dual Diffusion Architecture for Fisheye Image Rectification: Synthetic-to-Real Generalization—0
On the Importance of Noise Scheduling for Diffusion ModelsCode0
Simple diffusion: End-to-end diffusion for high resolution imagesCode2
Deep Convolutional Framelet Denoising for Panoramic by Mixed Wavelet Integration—0
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation EquationCode1
DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion ModelCode0
Solving Inverse Physics Problems with Score MatchingCode1
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraintsCode1
A Semantic Modular Framework for Events Topic Modeling in Social Media—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified