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 3731–3740 of 7282 papers

Title	Date	Tasks	Status
UGPNet: Universal Generative Prior for Image Restoration	Dec 31, 2023	DeblurringDenoising	—Unverified
SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries	Dec 31, 2023	Autonomous DrivingDenoising	—Unverified
Diff-PCR: Diffusion-Based Correspondence Searching in Doubly Stochastic Matrix Space for Point Cloud Registration	Dec 31, 2023	DenoisingPoint Cloud Registration	—Unverified
Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer	Dec 31, 2023	DenoisingHyperspectral Image Denoising	CodeCode Available
Diffusion Model with Perceptual Loss	Dec 30, 2023	DenoisingDiversity	—Unverified
6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation	Dec 29, 2023	6D Pose Estimation using RGBDenoising	—Unverified
Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting	Dec 28, 2023	Denoising	CodeCode Available
Grounding-Prompter: Prompting LLM with Multimodal Information for Temporal Sentence Grounding in Long Videos	Dec 28, 2023	DenoisingIn-Context Learning	—Unverified
Restoration by Generation with Constrained Priors	Dec 28, 2023	DenoisingImage Restoration	—Unverified
PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion	Dec 27, 2023	Computational EfficiencyDenoising	—Unverified

Show:10 25 50

← PrevPage 374 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