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

Showing 24912500 of 7282 papers

TitleStatusHype
The last Dance : Robust backdoor attack via diffusion models and bayesian approach0
AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising0
Denoising Diffusion via Image-Based Rendering0
DexDiffuser: Generating Dexterous Grasps with Diffusion Models0
FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells0
A Lennard-Jones Layer for Distribution Normalization0
ViewFusion: Learning Composable Diffusion Models for Novel View SynthesisCode1
Diffusive Gibbs SamplingCode1
Guidance with Spherical Gaussian Constraint for Conditional DiffusionCode2
Denoising Time Cycle Modeling for Recommendation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified