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 12761300 of 7282 papers

TitleStatusHype
Variational Deep Image RestorationCode1
Diffusion Deformable Model for 4D Temporal Medical Image GenerationCode1
Extended U-Net for Speaker Verification in Noisy EnvironmentsCode1
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance MatchingCode1
Entropy-driven Sampling and Training Scheme for Conditional Diffusion GenerationCode1
A Simple Baseline for Video Restoration with Grouped Spatial-temporal ShiftCode1
(Certified!!) Adversarial Robustness for Free!Code1
Questions Are All You Need to Train a Dense Passage RetrieverCode1
Inverse Problem of Ultrasound Beamforming with Denoising-Based Regularized SolutionsCode1
Discrete Contrastive Diffusion for Cross-Modal Music and Image GenerationCode1
Data-Driven Denoising of Stationary Accelerometer SignalsCode1
Hypernetwork-Based Adaptive Image RestorationCode1
gDDIM: Generalized denoising diffusion implicit modelsCode1
SAR Despeckling using a Denoising Diffusion Probabilistic ModelCode1
Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network PriorsCode1
Neural Diffusion ProcessesCode1
Language-Bridged Spatial-Temporal Interaction for Referring Video Object SegmentationCode1
Recurrent Video Restoration Transformer with Guided Deformable AttentionCode1
Poisson2Sparse: Self-Supervised Poisson Denoising From a Single ImageCode1
LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry PiCode1
Mixed noise reduction via sparse error constraint representation of high frequency image for wildlife imageCode1
Pre-training via Denoising for Molecular Property PredictionCode1
Few-Shot Diffusion ModelsCode1
A Continuous Time Framework for Discrete Denoising ModelsCode1
Guided Diffusion Model for Adversarial PurificationCode1
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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