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 13711380 of 7282 papers

TitleStatusHype
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud CompletionCode1
Label-Efficient Semantic Segmentation with Diffusion ModelsCode1
Embedding Decomposition for Artifacts Removal in EEG SignalsCode1
Learning Robust Recommender from Noisy Implicit FeedbackCode1
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and DemosaicingCode1
SAR Image Despeckling Using Continuous Attention ModuleCode1
Neighborhood Reconstructing AutoencodersCode1
Denoising Normalizing FlowCode1
Curriculum Disentangled Recommendation with Noisy Multi-feedbackCode1
EdiBERT, a generative model for image editingCode1
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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