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 591600 of 7282 papers

TitleStatusHype
Posterior-Mean Denoising Diffusion Model for Realistic PET Image Reconstruction0
GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals0
Reconstruct Anything Model: a lightweight foundation model for computational imaging0
Controlling Latent Diffusion Using Latent CLIPCode1
Denoising via Repainting: an image denoising method using layer wise medical image repainting0
Deep Perceptual Enhancement for Medical Image AnalysisCode0
Whiteness-based bilevel estimation of weighted TV parameter maps for image denoising0
Illuminating Darkness: Enhancing Real-world Low-light Scenes with Smartphone ImagesCode1
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation0
MIGA: Mutual Information-Guided Attack on Denoising Models for Semantic Manipulation0
Show:102550
← PrevPage 60 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