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 47514760 of 7282 papers

TitleStatusHype
What cleaves? Is proteasomal cleavage prediction reaching a ceiling?0
Removing Radio Frequency Interference from Auroral Kilometric Radiation with Stacked AutoencodersCode0
HKF: Hierarchical Kalman Filtering with Online Learned Evolution Priors for Adaptive ECG DenoisingCode0
Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model0
Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models0
Speech Dereverberation with a Reverberation Time Shortening TargetCode0
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report0
A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs0
Video super-resolution for single-photon LIDAR0
Efficient Bi-Level Optimization for Recommendation DenoisingCode0
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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