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 12211230 of 7282 papers

TitleStatusHype
MagicMix: Semantic Mixing with Diffusion ModelsCode1
SG-VAD: Stochastic Gates Based Speech Activity DetectionCode1
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech EnhancementCode1
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detectionCode1
Deep Equilibrium Approaches to Diffusion ModelsCode1
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality SequencesCode1
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological ReportCode1
Representation Learning with Diffusion ModelsCode1
BirdSoundsDenoising: Deep Visual Audio Denoising for Bird SoundsCode1
TransFusion: Transcribing Speech with Multinomial DiffusionCode1
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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