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 31913200 of 7282 papers

TitleStatusHype
Denoising Autoencoders for Overgeneralization in Neural Networks0
Beyond Photo Realism for Domain Adaptation from Synthetic Data0
Denoising Autoencoder-based Defensive Distillation as an Adversarial Robustness Algorithm0
Beyond Oversmoothing: Evaluating DDPM and MSE for Scalable Speech Synthesis in ASR0
Amortised MAP Inference for Image Super-resolution0
Denoising Attention for Query-aware User Modeling in Personalized Search0
Denoising Atmospheric Temperature Measurements Taken by the Mars Science Laboratory on the Martian Surface0
Denoising Arterial Spin Labeling Cerebral Blood Flow Images Using Deep Learning0
Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models0
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-190
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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