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 42314240 of 7282 papers

TitleStatusHype
Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation0
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion FunctionalsCode0
Unsupervised Coordinate-Based Video Denoising0
Weighted Anisotropic-Isotropic Total Variation for Poisson DenoisingCode0
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising0
Counting Guidance for High Fidelity Text-to-Image Synthesis0
Designing Stable Neural Networks using Convex Analysis and ODEsCode0
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph GenerationCode0
Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation0
ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models0
Show:102550
← PrevPage 424 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