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 651660 of 7282 papers

TitleStatusHype
Ab-initio Contrast Estimation and Denoising of Cryo-EM ImagesCode1
DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising TrainingCode1
DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout GenerationCode1
Divide-and-Conquer Posterior Sampling for Denoising Diffusion PriorsCode1
Convolutional Proximal Neural Networks and Plug-and-Play AlgorithmsCode1
Fully Unsupervised Diversity Denoising with Convolutional Variational AutoencodersCode1
Joint ptycho-tomography with deep generative priorsCode1
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any ArchitectureCode1
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image GenerationCode1
Disentangling Noise from Images: A Flow-Based Image Denoising Neural NetworkCode1
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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