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 421430 of 7282 papers

TitleStatusHype
DDT: Decoupled Diffusion TransformerCode3
AstroClearNet: Deep image prior for multi-frame astronomical image restoration0
Examining Joint Demosaicing and Denoising for Single-, Quad-, and Nona-Bayer Patterns0
Physical spline for denoising object trajectory data by combining splines, ML feature regression and model knowledgeCode0
OSDM-MReg: Multimodal Image Registration based One Step Diffusion Model0
Under-Sampled High-Dimensional Data Recovery via Symbiotic Multi-Prior Tensor Reconstruction0
Releasing Differentially Private Event Logs Using Generative ModelsCode0
Gaussian Mixture Flow Matching ModelsCode2
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures0
DDPM Score Matching and Distribution Learning0
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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