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 611620 of 7282 papers

TitleStatusHype
A Light and Tuning-free Method for Simulating Camera Motion in Video GenerationCode1
PixelPonder: Dynamic Patch Adaptation for Enhanced Multi-Conditional Text-to-Image Generation0
One-Step Diffusion Model for Image Motion-DeblurringCode1
D3DR: Lighting-Aware Object Insertion in Gaussian Splatting0
ProSE: Diffusion Priors for Speech Enhancement0
Diffusion Model Based Probabilistic Day-ahead Load Forecasting0
Speech Audio Generation from dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder0
Federated Learning for Diffusion Models0
PointDiffuse: A Dual-Conditional Diffusion Model for Enhanced Point Cloud Semantic Segmentation0
Explainable Synthetic Image Detection through Diffusion Timestep Ensembling0
Show:102550
← PrevPage 62 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