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 26512660 of 7282 papers

TitleStatusHype
AstroClearNet: Deep image prior for multi-frame astronomical image restoration0
Diffusion Models for Safety Validation of Autonomous Driving Systems0
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients0
CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View Synthesis0
A statistical physics framework for optimal learning0
Cross-Scale Residual Network for Multiple Tasks:Image Super-resolution, Denoising, and Deblocking0
A Statistical Approach to Signal Denoising Based on Data-driven Multiscale Representation0
A General Framework for Fast Stagewise Algorithms0
Cross-Patch Graph Convolutional Network for Image Denoising0
Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval0
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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