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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4261–4270 of 7282 papers

TitleStatusHype
Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20 Speedup—0
How Powerful is Implicit Denoising in Graph Neural Networks—0
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis—0
Bidirectional Language Models Are Also Few-shot Learners—0
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation—0
R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 ClassificationCode0
DreamFusion: Text-to-3D using 2D DiffusionCode5
DiGress: Discrete Denoising diffusion for graph generationCode2
Denoising MCMC for Accelerating Diffusion-Based Generative ModelsCode1
Deep Sparse and Low-Rank Prior for Hyperspectral Image DenoisingCode0
Show:102550
← PrevPage 427 of 729Next →
All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified