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 15611570 of 7282 papers

TitleStatusHype
Deep Denoising For Scientific Discovery: A Case Study In Electron MicroscopyCode1
Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image RestorationCode1
Progressive Training of Multi-level Wavelet Residual Networks for Image DenoisingCode1
Noise2Same: Optimizing A Self-Supervised Bound for Image DenoisingCode1
Listening to Sounds of Silence for Speech DenoisingCode1
One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGANCode1
Practical Deep Raw Image Denoising on Mobile DevicesCode1
Graph Information Bottleneck for Subgraph RecognitionCode1
Denoising Multi-Source Weak Supervision for Neural Text ClassificationCode1
High-throughput molecular imaging via deep learning enabled Raman spectroscopyCode1
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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