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 14211430 of 7282 papers

TitleStatusHype
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image DenoisingCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
Decoder Denoising Pretraining for Semantic SegmentationCode1
Memory-Efficient Hierarchical Neural Architecture Search for Image DenoisingCode1
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image PriorCode1
Enhancing Creative Generation on Stable Diffusion-based ModelsCode1
IterativePFN: True Iterative Point Cloud FilteringCode1
EchoNet-Quality: Denoising Echocardiograms via Deep Generative Modeling of Ultrasound NoiseCode1
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
Joint Low Dose CT Denoising And Kidney SegmentationCode1
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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