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 28512860 of 7282 papers

TitleStatusHype
Fine-grained Contrastive Learning for Relation ExtractionCode0
Generative Simulations of The Solar Corona Evolution With Denoising Diffusion : Proof of ConceptCode0
DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement0
Calliffusion: Chinese Calligraphy Generation and Style Transfer with Diffusion Modeling0
DiffKAN-Inpainting: KAN-based Diffusion model for brain tumor inpainting0
Calibration of depth cameras using denoised depth images0
CAGE: Controllable Articulation GEneration0
CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming0
A Deep Learning based Detection Method for Combined Integrity-Availability Cyber Attacks in Power System0
DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone0
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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