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 861870 of 7282 papers

TitleStatusHype
Combating Bilateral Edge Noise for Robust Link PredictionCode1
Generating HSR Bogie Vibration Signals via Pulse Voltage-Guided Conditional Diffusion ModelCode1
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image SegmentationCode1
Generate What You Prefer: Reshaping Sequential Recommendation via Guided DiffusionCode1
DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object DetectionCode1
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising DiffusionCode1
Customizing 360-Degree Panoramas through Text-to-Image Diffusion ModelsCode1
INCODE: Implicit Neural Conditioning with Prior Knowledge EmbeddingsCode1
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose EstimationCode1
Multi-scale Diffusion Denoised SmoothingCode1
Show:102550
← PrevPage 87 of 729Next →

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