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 25712580 of 7282 papers

TitleStatusHype
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
Erasing Undesirable Influence in Diffusion ModelsCode1
Adaptive Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising and Destriping0
Frequency-Time Diffusion with Neural Cellular Automata0
A locally statistical active contour model for SAR image segmentation can be solved by denoising algorithms0
Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks0
Can Active Label Correction Improve LLM-based Modular AI Systems?0
Multi-Dimensional Framework for EEG Signal Processing and Denoising Through Tensor-based Architecture0
Score Distillation Sampling with Learned Manifold Corrective0
Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose EstimaitonCode1
Show:102550
← PrevPage 258 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