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 10111020 of 7282 papers

TitleStatusHype
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration0
SPADE: Spectroscopic Photoacoustic Denoising using an Analytical and Data-free Enhancement Framework0
Missing data imputation for noisy time-series data and applications in healthcare0
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse ProblemsCode1
DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenes0
LAN: Learning to Adapt Noise for Image DenoisingCode1
Rapid Reconstruction of Extremely Accelerated Liver 4D MRI via Chained Iterative Refinement0
Generative Modeling with DiffusionCode0
Diffusion-based Method for Satellite Pattern-of-Life Identification0
Fast and Robust Visuomotor Riemannian Flow Matching Policy0
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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