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 39013910 of 7282 papers

TitleStatusHype
MixerMDM: Learnable Composition of Human Motion Diffusion Models0
Mixing-Denoising Generalizable Occupancy Networks0
Mixture-Net: Low-Rank Deep Image Prior Inspired by Mixture Models for Spectral Image Recovery0
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection0
Mixture of Robust Experts (MoRE):A Robust Denoising Method towards multiple perturbations0
Towards speech enhancement using a variational U-Net architecture0
MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling0
Towards stationary time-vertex signal processing0
MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing0
MMSE Estimation for Poisson Noise Removal in Images0
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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