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 36913700 of 7282 papers

TitleStatusHype
Spike Stream Denoising via Spike Camera Simulation0
Boundary-Denoising for Video Activity LocalizationCode0
Mixed Regression via Approximate Message Passing0
Self-Supervised Siamese Autoencoders0
HNeRV: A Hybrid Neural Representation for VideosCode1
A Diffusion-based Method for Multi-turn Compositional Image Generation0
Goal-Conditioned Imitation Learning using Score-based Diffusion PoliciesCode1
Image Blind Denoising Using Dual Convolutional Neural Network with Skip ConnectionCode0
Denoising Diffusion Probabilistic Models to Predict the Density of Molecular CloudsCode1
EGC: Image Generation and Classification via a Diffusion Energy-Based ModelCode1
Show:102550
← PrevPage 370 of 729Next →

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