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

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Showing 1251–1300 of 7282 papers

TitleStatusHype
Weak-signal extraction enabled by deep-neural-network denoising of diffraction dataCode1
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
4DenoiseNet: Adverse Weather Denoising from Adjacent Point CloudsCode1
Learning to Generate Realistic LiDAR Point CloudsCode1
Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image DenoisingCode1
MODNet: Multi-offset Point Cloud Denoising Network Customized for Multi-scale PatchesCode1
Frido: Feature Pyramid Diffusion for Complex Scene Image SynthesisCode1
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion ModelCode1
Learning Semantic Correspondence with Sparse AnnotationsCode1
Learning Degradation Representations for Image DeblurringCode1
High-Frequency Space Diffusion Models for Accelerated MRICode1
Rethinking Degradation: Radiograph Super-Resolution via AID-SRGANCode1
Exploring Generative Neural Temporal Point ProcessCode1
Deep learning-based denoising for fast time-resolved flame emission spectroscopy in high-pressure combustion environmentCode1
DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-TransformerCode1
Optimizing Image Compression via Joint Learning with DenoisingCode1
Deep Audio Waveform PriorCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
Threat Model-Agnostic Adversarial Defense using Diffusion ModelsCode1
Real-time Streaming Video Denoising with Bidirectional BuffersCode1
Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise ModelingCode1
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image RestorationCode1
Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series TransformerCode1
Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT DenoisingCode1
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
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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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified