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 331340 of 7282 papers

TitleStatusHype
Generative AI for Medical Imaging: extending the MONAI FrameworkCode2
Invisible Image Watermarks Are Provably Removable Using Generative AICode2
CascadedGaze: Efficiency in Global Context Extraction for Image RestorationCode2
CARD: Classification and Regression Diffusion ModelsCode2
A Simple and Model-Free Path Filtering Algorithm for Smoothing and AccuracyCode2
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly DetectionCode2
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly DetectionCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration ModelsCode2
DiffGraph: Heterogeneous Graph Diffusion ModelCode2
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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