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 751–800 of 7282 papers

TitleStatusHype
Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion ModelsCode1
Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality AssessmentCode1
SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion ModelCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
Explaining generative diffusion models via visual analysis for interpretable decision-making processCode1
Stochastic Localization via Iterative Posterior SamplingCode1
Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion ModelCode1
Color Image Denoising Using The Green Channel PriorCode1
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy BiasesCode1
Particle Denoising Diffusion SamplerCode1
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation LearningCode1
Social Physics Informed Diffusion Model for Crowd SimulationCode1
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance SegmentationCode1
SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal DenoisingCode1
Unified Discrete Diffusion for Categorical DataCode1
Pard: Permutation-Invariant Autoregressive Diffusion for Graph GenerationCode1
Diffusive Gibbs SamplingCode1
ViewFusion: Learning Composable Diffusion Models for Novel View SynthesisCode1
LIR: A Lightweight Baseline for Image RestorationCode1
Plug-and-Play image restoration with Stochastic deNOising REgularizationCode1
Diffusion-based Graph Generative MethodsCode1
Masked Pre-training Enables Universal Zero-shot DenoiserCode1
Progressive Multi-task Anti-Noise Learning and Distilling Frameworks for Fine-grained Vehicle RecognitionCode1
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation LearningCode1
Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet ExtractionCode1
Dual-Domain Coarse-to-Fine Progressive Estimation Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECTCode1
Exploring Diffusion Time-steps for Unsupervised Representation LearningCode1
MotionMix: Weakly-Supervised Diffusion for Controllable Motion GenerationCode1
Quantum Denoising Diffusion ModelsCode1
Denoising Diffusion Recommender ModelCode1
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data GenerationCode1
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
Erasing Undesirable Influence in Diffusion ModelsCode1
Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose EstimaitonCode1
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion ModelsCode1
Dynamic Addition of Noise in a Diffusion Model for Anomaly DetectionCode1
Boosting of Implicit Neural Representation-based Image DenoiserCode1
TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion ProcessCode1
Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural NetworkCode1
Dual Prior Unfolding for Snapshot Compressive ImagingCode1
Multiway Point Cloud Mosaicking with Diffusion and Global OptimizationCode1
DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot LearningCode1
Robust Image Denoising through Adversarial Frequency MixupCode1
Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion ModelsCode1
Improving Image Restoration through Removing Degradations in Textual RepresentationsCode1
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned GuidanceCode1
Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO ImagingCode1
Toward Accurate and Temporally Consistent Video Restoration from Raw DataCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
DVIS++: Improved Decoupled Framework for Universal Video SegmentationCode1
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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