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 43314340 of 7282 papers

TitleStatusHype
SSORN: Self-Supervised Outlier Removal Network for Robust Homography Estimation0
Denoising Architecture for Unsupervised Anomaly Detection in Time-SeriesCode0
Towards Adversarial Purification using Denoising AutoEncoders0
Frido: Feature Pyramid Diffusion for Complex Scene Image SynthesisCode1
Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks0
Source Camera Identification with Multi-Scale Feature Fusion NetworkCode0
Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image DenoisingCode0
Learning Task-Oriented Flows to Mutually Guide Feature Alignment in Synthesized and Real Video Denoising0
2nd Place Solutions for UG2+ Challenge 2022 -- D^3Net for Mitigating Atmospheric Turbulence from Images0
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling0
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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