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 13011310 of 7282 papers

TitleStatusHype
Accelerating Diffusion Models via Early Stop of the Diffusion ProcessCode1
Online Deep Equilibrium Learning for Regularization by DenoisingCode1
Flexible Diffusion Modeling of Long VideosCode1
Decoder Denoising Pretraining for Semantic SegmentationCode1
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2NoiseCode1
Deterministic training of generative autoencoders using invertible layersCode1
Masked Image Modeling with Denoising ContrastCode1
RU-Net: Regularized Unrolling Network for Scene Graph GenerationCode1
Subspace Diffusion Generative ModelsCode1
StorSeismic: A new paradigm in deep learning for seismic processingCode1
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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