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 39513960 of 7282 papers

TitleStatusHype
Denoising Opponents Position in Partial Observation Environment0
DeepOrientation: convolutional neural network for fringe pattern orientation map estimationCode0
Diffusion-Based Adversarial Purification for Speaker Verification0
EDGE++: Improved Training and Sampling of EDGE0
A Coordinate Descent Approach to Atomic Norm Denoising0
Code-Switching with Word Senses for Pretraining in Neural Machine Translation0
NMR Spectra Denoising with Vandermonde Constraints0
Auxiliary Features-Guided Super Resolution for Monte Carlo Rendering0
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models0
LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising0
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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