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 31713180 of 7282 papers

TitleStatusHype
Diffusion Model as Representation LearnerCode1
Texture Generation on 3D Meshes with Point-UV DiffusionCode2
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE DiscoveryCode0
Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing0
Semi-Implicit Variational Inference via Score MatchingCode0
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learningCode0
Physics-Guided Human Motion Capture with Pose Probability ModelingCode1
DiffusionTrack: Diffusion Model For Multi-Object TrackingCode2
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement0
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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