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 23312340 of 7282 papers

TitleStatusHype
Deep Manifold Prior0
Deeply Coupled Auto-encoder Networks for Cross-view Classification0
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior0
Deeply Cascaded U-Net for Multi-Task Image Processing0
Deeply Aggregated Alternating Minimization for Image Restoration0
Aligning Protein Conformation Ensemble Generation with Physical Feedback0
Adaptive Domain Learning for Cross-domain Image Denoising0
Energy-Inspired Self-Supervised Pretraining for Vision Models0
Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing0
Deep Learning with robustness to missing data: A novel approach to the detection of 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