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 41614170 of 7282 papers

TitleStatusHype
PressureTransferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps0
Diffusion Model for Camouflaged Object DetectionCode0
Domain Adaptation based on Human Feedback for Enhancing Generative Model Denoising Abilities0
Toward Zero-shot Character Recognition: A Gold Standard Dataset with Radical-level Annotations0
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance0
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning0
Contrastive Conditional Latent Diffusion for Audio-visual SegmentationCode0
DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation0
A Novel DDPM-based Ensemble Approach for Energy Theft Detection in Smart Grids0
Fusing Sparsity with Deep Learning for Rotating Scatter Mask Gamma Imaging0
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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