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 14611470 of 7282 papers

TitleStatusHype
Neural Architecture Search via Bregman IterationsCode1
ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language GenerationCode1
Unsharp Mask Guided FilteringCode1
Beyond the Spectrum: Detecting Deepfakes via Re-SynthesisCode1
RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral FeaturesCode1
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian NoiseCode1
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and BeyondCode1
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: ReportCode1
Window-Level is a Strong Denoising SurrogateCode1
HINet: Half Instance Normalization Network for Image RestorationCode1
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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