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 41914200 of 7282 papers

TitleStatusHype
High-Resolution Image Synthesis via Next-Token Prediction0
Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey0
High Resolution Seismic Waveform Generation using Denoising Diffusion0
Test-time Conditional Text-to-Image Synthesis Using Diffusion Models0
Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image0
Advancing 3D Gaussian Splatting Editing with Complementary and Consensus Information0
HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging0
3D-Consistent Image Inpainting with Diffusion Models0
HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models0
Holistic Processing of Colour Images Using Novel Quaternion-Valued Wavelets on the Plane0
Show:102550
← PrevPage 420 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