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 1541–1550 of 7282 papers

TitleStatusHype
Cross-conditioned Diffusion Model for Medical Image to Image Translation—0
xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory EditingCode1
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control—0
Sub-graph Based Diffusion Model for Link Prediction—0
Using Convolutional Neural Networks for Denoising and Deblending of Marine Seismic Data—0
Pushing Joint Image Denoising and Classification to the Edge—0
Localized Schrödinger Bridge Sampler—0
MagicStyle: Portrait Stylization Based on Reference Image—0
Improving Text-guided Object Inpainting with Semantic Pre-inpaintingCode2
Quaternion Nuclear Norm minus Frobenius Norm Minimization for color image reconstruction—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