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 40214030 of 7282 papers

TitleStatusHype
Multimodal Graph Neural Network for Recommendation with Dynamic De-redundancy and Modality-Guided Feature De-noisy0
Multimodal Image Denoising based on Coupled Dictionary Learning0
Multi-modal Image Processing based on Coupled Dictionary Learning0
Learning Patterns in Sample Distributions for Monte Carlo Variance Reduction0
Multi-modal Pose Diffuser: A Multimodal Generative Conditional Pose Prior0
Multimodal sensor fusion in the latent representation space0
Multimodal sparse representation learning and applications0
Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion0
Multi-Objective Optimization for Self-Adjusting Weighted Gradient in Machine Learning Tasks0
Multi-objective Progressive Clustering for Semi-supervised Domain Adaptation in Speaker Verification0
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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