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 401410 of 7282 papers

TitleStatusHype
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance FieldsCode2
Practical Blind Image Denoising via Swin-Conv-UNet and Data SynthesisCode2
Diffusion Bridge Implicit ModelsCode2
DiffusionInst: Diffusion Model for Instance SegmentationCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
PromptIR: Prompting for All-in-One Blind Image RestorationCode2
A DeNoising FPN With Transformer R-CNN for Tiny Object DetectionCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
Compressed Image Generation with Denoising Diffusion Codebook ModelsCode2
DiffLoc: Diffusion Model for Outdoor LiDAR LocalizationCode2
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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