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 40214030 of 7282 papers

TitleStatusHype
Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models0
Audio Denoising for Robust Audio Fingerprinting0
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks0
On-the-fly Denoising for Data Augmentation in Natural Language UnderstandingCode0
Sophisticated deep learning with on-chip optical diffractive tensor processing0
SeqDiffuSeq: Text Diffusion with Encoder-Decoder TransformersCode1
SimpleStyle: An Adaptable Style Transfer Approach0
GanLM: Encoder-Decoder Pre-training with an Auxiliary DiscriminatorCode0
Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network0
Mu^2SLAM: Multitask, Multilingual Speech and Language Models0
Show:102550
← PrevPage 403 of 729Next →

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