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 41314140 of 7282 papers

TitleStatusHype
Patch-Craft Self-Supervised Training for Correlated Image DenoisingCode0
Proactively Predicting Dynamic 6G Link Blockages Using LiDAR and In-Band Signatures0
DiffusionDet: Diffusion Model for Object DetectionCode4
EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label Guidance0
Super-resolution Reconstruction of Single Image for Latent features0
Learning to Kindle the StarlightCode0
CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming0
N2V2 -- Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture0
Diffusion Models for Medical Image Analysis: A Comprehensive SurveyCode4
Denoising diffusion models for out-of-distribution detectionCode1
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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