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 45814590 of 7282 papers

TitleStatusHype
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data0
Diffusion Denoising for Low-Dose-CT Model0
A Denoising Diffusion Model for Fluid Field Prediction0
On the Importance of Noise Scheduling for Diffusion ModelsCode0
Dual Diffusion Architecture for Fisheye Image Rectification: Synthetic-to-Real Generalization0
Deep Convolutional Framelet Denoising for Panoramic by Mixed Wavelet Integration0
DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion ModelCode0
A Semantic Modular Framework for Events Topic Modeling in Social Media0
Recent progress in image denoising: A training strategy perspective0
Regular Time-series Generation using SGM0
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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