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 21512160 of 7282 papers

TitleStatusHype
Global Counterfactual DirectionsCode0
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion ModelsCode0
G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis0
Unsupervised Microscopy Video Denoising0
SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing PansharpeningCode1
Factorized Diffusion: Perceptual Illusions by Noise Decomposition0
Leveraging Fine-Grained Information and Noise Decoupling for Remote Sensing Change Detection0
Multi-Sensor Diffusion-Driven Optical Image Translation for Large-Scale Applications0
Molecular relaxation by reverse diffusion with time step predictionCode1
Generating Human Interaction Motions in Scenes with Text Control0
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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