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 11761200 of 7282 papers

TitleStatusHype
Information-Theoretic DiffusionCode1
An Unsupervised Deep Learning Approach for Real-World Image DenoisingCode1
Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional NetworksCode1
D3RM: A Discrete Denoising Diffusion Refinement Model for Piano TranscriptionCode1
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
Homotopic Gradients of Generative Density Priors for MR Image ReconstructionCode1
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIPCode1
Dynamic Addition of Noise in a Diffusion Model for Anomaly DetectionCode1
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image RestorationCode1
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication SystemsCode1
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial AttacksCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot NetworkCode1
Interpolating between Images with Diffusion ModelsCode1
D3A-TS: Denoising-Driven Data Augmentation in Time SeriesCode1
Deep Multi-Threshold Spiking-UNet for Image ProcessingCode1
A Physics-based Noise Formation Model for Extreme Low-light Raw DenoisingCode1
Deep Universal Blind Image DenoisingCode1
DAEMA: Denoising Autoencoder with Mask AttentionCode1
Inverse Problem of Ultrasound Beamforming with Denoising-Based Regularized SolutionsCode1
HNeRV: A Hybrid Neural Representation for VideosCode1
CLEARER: Multi-Scale Neural Architecture Search for Image RestorationCode1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel PruningCode1
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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