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 4291–4300 of 7282 papers

TitleStatusHype
Tuning-Free Inversion-Enhanced Control for Consistent Image Editing—0
Tuning-Free Long Video Generation via Global-Local Collaborative Diffusion—0
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation—0
Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models—0
Adapting Sentence Transformers for the Aviation Domain—0
On Exact Inversion of DPM-Solvers—0
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models—0
On Grid Compressive Sampling for Spherical Field Measurements in Acoustics—0
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction—0
Online Adaptation of Deep Architectures with Reinforcement Learning—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