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 43114320 of 7282 papers

TitleStatusHype
Manifold Rewiring for Unlabeled Imaging0
Soft Diffusion: Score Matching for General Corruptions0
Diffusion Models in Vision: A SurveyCode2
Learning to Generate Realistic LiDAR Point CloudsCode1
G2L: A Global to Local Alignment Method for Unsupervised Domain Adaptive Semantic Segmentation0
Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image DenoisingCode1
Video Restoration with a Deep Plug-and-Play Prior0
LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Images0
Learning to Predict on Octree for Scalable Point Cloud Geometry Coding0
A Multi-scale Video Denoising Algorithm for Raw Image0
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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