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 28612870 of 7282 papers

TitleStatusHype
GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and DecodingCode0
UT5: Pretraining Non autoregressive T5 with unrolled denoising0
Mustango: Toward Controllable Text-to-Music GenerationCode2
Brain-Driven Representation Learning Based on Diffusion Model0
Robust semi-supervised segmentation with timestep ensembling diffusion models0
Near-Field Sparse Channel Estimation for Extremely Large-Scale RIS-Aided Wireless Communications0
AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language Models Denoising0
MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion ModelCode1
An Analysis and Mitigation of the Reversal CurseCode1
One Signal-Noise Separation based Wiener Filter for Magnetogastrogram0
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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