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 19011910 of 7282 papers

TitleStatusHype
LoFi: Neural Local Fields for Scalable Image ReconstructionCode0
Denoising Architecture for Unsupervised Anomaly Detection in Time-SeriesCode0
Beyond Human Perception: Understanding Multi-Object World from Monocular ViewCode0
Denoising and Regularization via Exploiting the Structural Bias of Convolutional GeneratorsCode0
LINN: Lifting Inspired Invertible Neural Network for Image DenoisingCode0
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch RepresentationCode0
Lifting Layers: Analysis and ApplicationsCode0
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold SimplificationCode0
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation LearningCode0
LGC-Net: A Lightweight Gyroscope Calibration Network for Efficient Attitude EstimationCode0
Show:102550
← PrevPage 191 of 729Next →

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