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 131140 of 7282 papers

TitleStatusHype
A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement0
DeGLIF for Label Noise Robust Node Classification using GNNs0
EasyText: Controllable Diffusion Transformer for Multilingual Text RenderingCode2
TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching0
ComposeAnything: Composite Object Priors for Text-to-Image Generation0
On Designing Diffusion Autoencoders for Efficient Generation and Representation LearningCode0
Optimal Weighted Convolution for Classification and DenosingCode2
Interactive Video Generation via Domain Adaptation0
STAR-Net: An Interpretable Model-Aided Network for Remote Sensing Image DenoisingCode0
Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-LangevinCode1
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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