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 16311640 of 7282 papers

TitleStatusHype
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
Low-dose CT Denoising with Language-engaged Dual-space AlignmentCode1
Accelerated MRI with Un-trained Neural NetworksCode1
ILVR: Conditioning Method for Denoising Diffusion Probabilistic ModelsCode1
A deep network for sinogram and CT image reconstructionCode1
Social Physics Informed Diffusion Model for Crowd SimulationCode1
A Variational Perspective on Solving Inverse Problems with Diffusion ModelsCode1
Image Deconvolution via Noise-Tolerant Self-Supervised InversionCode1
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain NavigationCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
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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