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 24412450 of 7282 papers

TitleStatusHype
Exploring Optimal Latent Trajetory for Zero-shot Image Editing0
Exploring Molecule Generation Using Latent Space Graph DiffusionCode0
Brick-Diffusion: Generating Long Videos with Brick-to-Wall Denoising0
InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models0
Two-Dimensional Unknown View Tomography from Unknown Angle Distributions0
DDRM-PR: Fourier Phase Retrieval using Denoising Diffusion Restoration Models0
DarkFarseer: Inductive Spatio-temporal Kriging via Hidden Style Enhancement and Sparsity-Noise Mitigation0
A Self-supervised Diffusion Bridge for MRI Reconstruction0
Noise-Robust Target-Speaker Voice Activity Detection Through Self-Supervised Pretraining0
DeTrack: In-model Latent Denoising Learning for Visual Object Tracking0
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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