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 30913100 of 7282 papers

TitleStatusHype
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning0
Blind Biological Sequence Denoising with Self-Supervised Set Learning0
Denoising Hamiltonian Network for Physical Reasoning0
Denoising guarantees for optimized sampling schemes in compressed sensing0
Blind and neural network-guided convolutional beamformer for joint denoising, dereverberation, and source separation0
Analysing Diffusion Segmentation for Medical Images0
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-Encoders0
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders0
Blind2Sound: Self-Supervised Image Denoising without Residual Noise0
Analog Image Denoising with an Adaptive Memristive Crossbar Network0
Show:102550
← PrevPage 310 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