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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 2931–2940 of 7282 papers

Title	Date	Tasks	Status	Hype
A multi-artifact EEG denoising by frequency-based deep learning	Oct 26, 2023	Deep LearningDenoising	—Unverified	0
Single channel speech enhancement by colored spectrograms	Oct 26, 2023	DenoisingGenerative Adversarial Network	—Unverified	0
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning	Oct 26, 2023	DenoisingGraph Learning	—Unverified	0
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation	Oct 26, 2023	6D Pose Estimation using RGBDenoising	CodeCode Available	1
Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models	Oct 26, 2023	DenoisingOut-of-Distribution Detection	—Unverified	0
Multi-scale Diffusion Denoised Smoothing	Oct 25, 2023	Adversarial RobustnessDenoising	CodeCode Available	1
RAEDiff: Denoising Diffusion Probabilistic Models Based Reversible Adversarial Examples Self-Generation and Self-Recovery	Oct 25, 2023	Denoising	—Unverified	0
FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model	Oct 25, 2023	DenoisingWeather Forecasting	—Unverified	0
Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models	Oct 25, 2023	DenoisingVideo Editing	CodeCode Available	0
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise	Oct 25, 2023	DenoisingNode Classification	CodeCode Available	0

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All datasets Darmstadt Noise Dataset DIV2K DND iris

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SINDy	PSNR	81	—	Unverified
2	Pixel-shuffling Downsampling	PSNR	38.4	—	Unverified
3	TWSC	PSNR	37.93	—	Unverified
4	CBDNet(Syn)	PSNR	37.57	—	Unverified
5	MCWNNM	PSNR	37.38	—	Unverified
6	Han et al	PSNR	35.95	—	Unverified
7	FFDNet	PSNR	34.4	—	Unverified
8	TNRD	PSNR	33.65	—	Unverified
9	CDnCNN-B	PSNR	32.43	—	Unverified
10	NLRN	PSNR	30.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DRUnet_Poisson_0.01	Average PSNR (dB)	33.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DRANet	Average PSNR	39.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PCNN+RL+HME	Average	84.61	—	Unverified