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 37713780 of 7282 papers

TitleStatusHype
PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models0
Bayesian ECG reconstruction using denoising diffusion generative models0
SPIRE: Semantic Prompt-Driven Image Restoration0
Unraveling the Temporal Dynamics of the Unet in Diffusion Models0
Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO0
Fast Sampling generative model for Ultrasound image reconstruction0
CAGE: Controllable Articulation GEneration0
Tell Me What You See: Text-Guided Real-World Image Denoising0
MVHuman: Tailoring 2D Diffusion with Multi-view Sampling For Realistic 3D Human Generation0
BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment0
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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