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 12111220 of 7282 papers

TitleStatusHype
Denoising diffusion-based MRI to CT image translation enables automated spinal segmentationCode1
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video ParsingCode1
Joint self-supervised blind denoising and noise estimationCode1
Denoising Diffusion Autoencoders are Unified Self-supervised LearnersCode1
D3A-TS: Denoising-Driven Data Augmentation in Time SeriesCode1
Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximationCode1
D3RM: A Discrete Denoising Diffusion Refinement Model for Piano TranscriptionCode1
Denoising Diffusion Post-Processing for Low-Light Image EnhancementCode1
Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion ModelsCode1
D4AM: A General Denoising Framework for Downstream Acoustic ModelsCode1
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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