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 44014410 of 7282 papers

TitleStatusHype
Non-Contact Heart Rate Measurement from Deteriorated Videos0
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis0
Deep sound-field denoiser: optically-measured sound-field denoising using deep neural networkCode0
Single-View Height Estimation with Conditional Diffusion Probabilistic Models0
The Score-Difference Flow for Implicit Generative Modeling0
MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled DataCode0
NoiseTrans: Point Cloud Denoising with Transformers0
Conditional Denoising Diffusion for Sequential Recommendation0
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis0
Heart Rate Extraction from Abdominal Audio Signals0
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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