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

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Showing 3641–3650 of 7282 papers

TitleStatusHype
AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising—0
A Lennard-Jones Layer for Distribution Normalization—0
The last Dance : Robust backdoor attack via diffusion models and bayesian approach—0
Denoising Time Cycle Modeling for Recommendation—0
DiffVein: A Unified Diffusion Network for Finger Vein Segmentation and Authentication—0
Denoising Diffusion-Based Control of Nonlinear SystemsCode0
Decomposition-based and Interference Perception for Infrared and Visible Image Fusion in Complex Scenes—0
Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization—0
Code Representation Learning At Scale—0
Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion?—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified