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 41114120 of 7282 papers

TitleStatusHype
Recent Advances in Diffusion Models for Hyperspectral Image Processing and Analysis: A Review0
Nested Annealed Training Scheme for Generative Adversarial Networks0
Weakly-Supervised Speech Pre-training: A Case Study on Target Speech Recognition0
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation0
Network Enhancement: a general method to denoise weighted biological networks0
Network Refinement: A unified framework for enhancing signal or removing noise of networks0
Neural Affine Grayscale Image Denoising0
Training Stacked Denoising Autoencoders for Representation Learning0
Neural Cell Video Synthesis via Optical-Flow Diffusion0
Neural Compression-Based Feature Learning for Video Restoration0
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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