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

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Showing 2971–2980 of 7282 papers

TitleStatusHype
BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy MatchingCode0
Schrödinger Bridge Flow for Unpaired Data Translation—0
ManiDext: Hand-Object Manipulation Synthesis via Continuous Correspondence Embeddings and Residual-Guided Diffusion—0
Robust Training of Neural Networks at Arbitrary Precision and Sparsity—0
E1 TTS: Simple and Fast Non-Autoregressive TTS—0
Using Convolutional Neural Networks for Denoising and Deblending of Marine Seismic Data—0
MambaFoley: Foley Sound Generation using Selective State-Space ModelsCode0
Cross-conditioned Diffusion Model for Medical Image to Image Translation—0
Sub-graph Based Diffusion Model for Link Prediction—0
Pushing Joint Image Denoising and Classification to the Edge—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified