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 2911–2920 of 7282 papers

Title	Date	Tasks	Status	Hype
The Missing U for Efficient Diffusion Models	Oct 31, 2023	DenoisingImage Generation	—Unverified	0
Diffusion Reconstruction of Ultrasound Images with Informative Uncertainty	Oct 31, 2023	DenoisingImage Reconstruction	—Unverified	0
DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object Detection	Oct 30, 2023	DenoisingGPU	CodeCode Available	1
Conditional Denoising Diffusion Probabilistic Models for Data Reconstruction Enhancement in Wireless Communications	Oct 30, 2023	DenoisingQuantization	—Unverified	0
Generative Neural Fields by Mixtures of Neural Implicit Functions	Oct 30, 2023	DenoisingMeta-Learning	—Unverified	0
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion	Oct 30, 2023	counterfactualDenoising	CodeCode Available	1
Asymmetric Diffusion Based Channel-Adaptive Secure Wireless Semantic Communications	Oct 30, 2023	Deep Reinforcement LearningDenoising	—Unverified	0
A Scalable Training Strategy for Blind Multi-Distribution Noise Removal	Oct 30, 2023	Active LearningDenoising	—Unverified	0
DPATD: Dual-Phase Audio Transformer for Denoising	Oct 30, 2023	DenoisingSpeech Enhancement	—Unverified	0
DiffSpectralNet : Unveiling the Potential of Diffusion Models for Hyperspectral Image Classification	Oct 29, 2023	ClassificationDenoising	—Unverified	0

Show:10 25 50

← PrevPage 292 of 729Next →

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