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 3351–3360 of 7282 papers

Title	Date	Tasks	Status	Hype
Learning Mixtures of Gaussians Using the DDPM Objective	Jul 3, 2023	Denoising	—Unverified	0
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution	Jul 3, 2023	DenoisingImage Super-Resolution	—Unverified	0
TomatoDIFF: On-plant Tomato Segmentation with Denoising Diffusion Models	Jul 3, 2023	DenoisingSegmentation	CodeCode Available	0
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models	Jul 2, 2023	DeblurringDenoising	CodeCode Available	1
Variational Autoencoding Molecular Graphs with Denoising Diffusion Probabilistic Model	Jul 2, 2023	DenoisingDrug Discovery	—Unverified	0
MissDiff: Training Diffusion Models on Tabular Data with Missing Values	Jul 2, 2023	DenoisingMissing Values	—Unverified	0
Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation	Jul 2, 2023	DenoisingHuman Animation	—Unverified	0
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals	Jul 1, 2023	DenoisingGenerative Adversarial Network	CodeCode Available	0
Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising	Jul 1, 2023	AstronomyComputational Efficiency	CodeCode Available	0
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising	Jul 1, 2023	DenoisingHyperspectral Unmixing	—Unverified	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