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 761770 of 7282 papers

TitleStatusHype
Convergence Guarantees for Non-Convex Optimisation with Cauchy-Based PenaltiesCode1
A Two-Stage U-Net for High-Fidelity Denoising of Historical RecordingsCode1
2D medical image synthesis using transformer-based denoising diffusion probabilistic modelCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
AIM 2020 Challenge on Learned Image Signal Processing PipelineCode1
Fast Inference in Denoising Diffusion Models via MMD FinetuningCode1
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
Dual Residual Attention Network for Image DenoisingCode1
Controlling Latent Diffusion Using Latent CLIPCode1
Dual-Scale Transformer for Large-Scale Single-Pixel ImagingCode1
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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