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 811820 of 7282 papers

TitleStatusHype
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems0
An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman ProblemCode1
Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction0
Radio Map Estimation via Latent Domain Plug-and-Play DenoisingCode0
Binary Diffusion Probabilistic Model0
Self-Supervised Diffusion MRI Denoising via Iterative and Stable RefinementCode1
FDG-Diff: Frequency-Domain-Guided Diffusion Framework for Compressed Hazy Image RestorationCode0
Graph Representation Learning with Diffusion Generative Models0
Sequential Change Point Detection via Denoising Score Matching0
Accelerate High-Quality Diffusion Models with Inner Loop Feedback0
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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