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 17411750 of 7282 papers

TitleStatusHype
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation0
Schrödinger Bridge for Generative Speech Enhancement0
Adaptive Extensions of Unbiased Risk Estimators for Unsupervised Magnetic Resonance Image Denoising0
DiffX: Guide Your Layout to Cross-Modal Generative ModelingCode1
SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over TimeCode1
FAST-GSC: Fast and Adaptive Semantic Transmission for Generative Semantic Communication0
Estimating Probability Densities with Transformer and Denoising DiffusionCode0
Diffusion Model Based Resource Allocation Strategy in Ultra-Reliable Wireless Networked Control Systems0
Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound0
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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