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 36613670 of 7282 papers

TitleStatusHype
Event-Guided Denoising for Multilingual Relation Learning0
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models0
EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events0
Evolutionary Variational Optimization of Generative Models0
Evolution Meets Diffusion: Efficient Neural Architecture Generation0
Evolvable Conditional Diffusion0
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising0
EVRNet: Efficient Video Restoration on Edge Devices0
EWT: Efficient Wavelet-Transformer for Single Image Denoising0
Exact Sparse Orthogonal Dictionary Learning0
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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