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 13111320 of 7282 papers

TitleStatusHype
Score-based denoising for atomic structure identificationCode1
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
Goal-Conditioned Imitation Learning using Score-based Diffusion PoliciesCode1
Chip Placement with Diffusion ModelsCode1
4DenoiseNet: Adverse Weather Denoising from Adjacent Point CloudsCode1
Graph Collaborative Signals Denoising and Augmentation for RecommendationCode1
Graph Information Bottleneck for Subgraph RecognitionCode1
AdaGNN: Graph Neural Networks with Adaptive Frequency Response FilterCode1
Artifact Restoration in Histology Images with Diffusion Probabilistic ModelsCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
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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