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 36413650 of 7282 papers

TitleStatusHype
Estimating High Order Gradients of the Data Distribution by Denoising0
Estimating LASSO Risk and Noise Level0
Estimating Post-OCR Denoising Complexity on Numerical Texts0
Estimating User Location in Social Media with Stacked Denoising Auto-encoders0
Sweep Distortion Removal from THz Images via Blind Demodulation0
Epsilon-VAE: Denoising as Visual Decoding0
Evaluating BM3D and NBNet: A Comprehensive Study of Image Denoising Across Multiple Datasets0
Evaluating deep variational autoencoders trained on pan-cancer gene expression0
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack0
Evaluating the design space of diffusion-based generative models0
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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