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 821830 of 7282 papers

TitleStatusHype
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor ContractionsCode0
TeD-Loc: Text Distillation for Weakly Supervised Object LocalizationCode0
FDG-Diff: Frequency-Domain-Guided Diffusion Framework for Compressed Hazy Image RestorationCode0
Graph Representation Learning with Diffusion Generative Models0
Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling0
Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL0
Interaction Dataset of Autonomous Vehicles with Traffic Lights and Signs0
Unified 3D MRI Representations via Sequence-Invariant Contrastive LearningCode0
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models0
Teacher Encoder-Student Decoder Denoising Guided Segmentation Network for Anomaly Detection0
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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