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 46114620 of 7282 papers

TitleStatusHype
Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets0
Iterative Denoiser and Noise Estimator for Self-Supervised Image Denoising0
Feature Prediction Diffusion Model for Video Anomaly Detection0
Graphics2RAW: Mapping Computer Graphics Images to Sensor RAW Images0
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction0
Removing Anomalies as Noises for Industrial Defect Localization0
Diffusion-Based Signed Distance Fields for 3D Shape Generation0
Controllable Person Image Synthesis with Pose-Constrained Latent Diffusion0
HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models0
PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting0
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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