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 851–875 of 7282 papers

TitleStatusHype
Graph Signal Diffusion Model for Collaborative FilteringCode1
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging ResearchCode1
An Analysis and Mitigation of the Reversal CurseCode1
MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion ModelCode1
A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron TomographyCode1
Weakly-supervised deepfake localization in diffusion-generated imagesCode1
Image Restoration via Frequency SelectionCode1
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot ClassificationCode1
Sparse Training of Discrete Diffusion Models for Graph GenerationCode1
Quantum circuit synthesis with diffusion modelsCode1
Combating Bilateral Edge Noise for Robust Link PredictionCode1
Generating HSR Bogie Vibration Signals via Pulse Voltage-Guided Conditional Diffusion ModelCode1
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image SegmentationCode1
Generate What You Prefer: Reshaping Sequential Recommendation via Guided DiffusionCode1
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising DiffusionCode1
DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object DetectionCode1
Customizing 360-Degree Panoramas through Text-to-Image Diffusion ModelsCode1
INCODE: Implicit Neural Conditioning with Prior Knowledge EmbeddingsCode1
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose EstimationCode1
Multi-scale Diffusion Denoised SmoothingCode1
DALE: Generative Data Augmentation for Low-Resource Legal NLPCode1
M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment AnalysisCode1
Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion ModelsCode1
Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion ModelsCode1
Music Augmentation and Denoising For Peak-Based Audio FingerprintingCode1
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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