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 3351–3375 of 7282 papers

TitleStatusHype
All-optical image denoising using a diffractive visual processor—0
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond—0
Adaptive Estimation and Learning under Temporal Distribution Shift—0
Hierarchical Flow Diffusion for Efficient Frame Interpolation—0
Convergence Analysis of a Proximal Stochastic Denoising Regularization Algorithm—0
A salt and pepper noise image denoising method based on the generative classification—0
AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning—0
Hierarchical Piecewise-Constant Super-regions—0
Deep Plug-and-play Prior for Low-rank Tensor Completion—0
Hierarchical spike coding of sound—0
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction—0
Enhancing Motion Dynamics of Image-to-Video Models via Adaptive Low-Pass Guidance—0
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model—0
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models—0
Deep priors for satellite image restoration with accurate uncertainties—0
High-dimensional learning of narrow neural networks—0
Image Restoration using Total Variation Regularized Deep Image Prior—0
Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise—0
Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling—0
High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching—0
Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement—0
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models—0
A Critical Analysis of Patch Similarity Based Image Denoising Algorithms—0
Highly Detailed and Temporal Consistent Video Stylization via Synchronized Multi-Frame Diffusion—0
Image Restoration with Locally Selected Class-Adapted Models—0
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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