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 30413050 of 7282 papers

TitleStatusHype
Evaluating BM3D and NBNet: A Comprehensive Study of Image Denoising Across Multiple Datasets0
Epsilon-VAE: Denoising as Visual Decoding0
Convolutional Dictionary Regularizers for Tomographic Inversion0
Estimating User Location in Social Media with Stacked Denoising Auto-encoders0
DeBaRA: Denoising-Based 3D Room Arrangement Generation0
Fully-Connected CRFs with Non-Parametric Pairwise Potential0
A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders0
Graph filtering over expanding graphs0
Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series0
Convolutional Deep Denoising Autoencoders for Radio Astronomical Images0
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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