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 48014810 of 7282 papers

TitleStatusHype
Scaling Laws For Deep Learning Based Image ReconstructionCode0
Efficient Image Denoising by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix0
Convergence of score-based generative modeling for general data distributions0
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness0
Enhancing convolutional neural network generalizability via low-rank weight approximation0
Transfer learning for self-supervised, blind-spot seismic denoising0
Analog Image Denoising with an Adaptive Memristive Crossbar Network0
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models0
Robust Hyperspectral Image Fusion with Simultaneous Guide Image Denoising via Constrained Convex Optimization0
LGDN: Language-Guided Denoising Network for Video-Language Modeling0
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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