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 34013410 of 7282 papers

TitleStatusHype
Adaptive dropout for training deep neural networks0
HORT: Monocular Hand-held Objects Reconstruction with Transformers0
H3AE: High Compression, High Speed, and High Quality AutoEncoder for Video Diffusion Models0
H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization0
GUNet: A Graph Convolutional Network United Diffusion Model for Stable and Diversity Pose Generation0
Guided Speech Enhancement Network0
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure0
Guided Frequency Loss for Image Restoration0
How Powerful is Implicit Denoising in Graph Neural Networks0
Guided Filter based Edge-preserving Image Non-blind Deconvolution0
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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