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 22812290 of 7282 papers

TitleStatusHype
Ultrasound Imaging based on the Variance of a Diffusion Restoration ModelCode0
Transfer CLIP for Generalizable Image DenoisingCode2
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data0
Multimodal-Conditioned Latent Diffusion Models for Fashion Image EditingCode3
Improving Robustness to Model Inversion Attacks via Sparse Coding ArchitecturesCode0
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly DetectionCode2
Analysing Diffusion Segmentation for Medical Images0
Denoising Diffusion Models for 3D Healthy Brain Tissue InpaintingCode1
QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping0
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and ModulationCode3
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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