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 13311340 of 7282 papers

TitleStatusHype
Traffic Matrix Estimation based on Denoising Diffusion Probabilistic ModelCode0
Diffusion Transformer PolicyCode2
SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation0
FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-temporal Traffic Data Imputation0
IKDP: Inverse Kinematics through Diffusion Process0
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications0
Data Augmentation via Diffusion Model to Enhance AI Fairness0
On the Wasserstein Convergence and Straightness of Rectified FlowCode0
DEL-Ranking: Ranking-Correction Denoising Framework for Elucidating Molecular Affinities in DNA-Encoded Libraries0
Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization0
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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