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 42514260 of 7282 papers

TitleStatusHype
Programmable Annotation with Diversed Heuristics and Data Denoising0
CETA: A Consensus Enhanced Training Approach for Denoising in Distantly Supervised Relation ExtractionCode0
Adaptive Feature Discrimination and Denoising for Asymmetric Text Matching0
Data Synthesis and Iterative Refinement for Neural Semantic Parsing without Annotated Logical Forms0
Towards Making the Most of Pre-trained Translation Model for Quality Estimation0
Diagnostic Quality Assessment for Low-Dimensional ECG Representations0
Protein structure generation via folding diffusionCode2
TT-NF: Tensor Train Neural FieldsCode1
TabDDPM: Modelling Tabular Data with Diffusion ModelsCode2
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions0
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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