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 37413750 of 7282 papers

TitleStatusHype
Fast 3D Point Cloud Denoising via Bipartite Graph Approximation & Total Variation0
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization0
Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion0
Fast and Flexible Image Blind Denoising via Competition of Experts0
Fast and High-Quality Image Denoising via Malleable Convolutions0
Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution0
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent0
Fast and Provable ADMM for Learning with Generative Priors0
Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms0
Fast and Robust Visuomotor Riemannian Flow Matching Policy0
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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