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 451–500 of 7282 papers

TitleStatusHype
An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman ProblemCode1
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT DenoisingCode1
Diffusion Policies creating a Trust Region for Offline Reinforcement LearningCode1
Diffusion Posterior Proximal Sampling for Image RestorationCode1
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain ImagesCode1
Diffusion Models for Black-Box OptimizationCode1
Diffusion Models for Graphs Benefit From Discrete State SpacesCode1
Diffusion Models as Network Optimizers: Explorations and AnalysisCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
Convolutional Proximal Neural Networks and Plug-and-Play AlgorithmsCode1
Diffusion Models for Medical Anomaly DetectionCode1
Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality AssessmentCode1
Diffusion Model as Representation LearnerCode1
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty EstimationCode1
Convergence Guarantees for Non-Convex Optimisation with Cauchy-Based PenaltiesCode1
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned GenerationCode1
Controlling Latent Diffusion Using Latent CLIPCode1
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT DenoisingCode1
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic SegmenterCode1
Contrastive Denoising Score for Text-guided Latent Diffusion Image EditingCode1
An Analysis and Implementation of the HDR+ Burst Denoising MethodCode1
Diffusion Bridge: Leveraging Diffusion Model to Reduce the Modality Gap Between Text and Vision for Zero-Shot Image CaptioningCode1
Diffusion Deformable Model for 4D Temporal Medical Image GenerationCode1
Continual Learning of Diffusion Models with Generative DistillationCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
Continuous Speculative Decoding for Autoregressive Image GenerationCode1
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic ManipulationCode1
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be ConsistentCode1
Diffusion-based Graph Generative MethodsCode1
1st Place Solution for the 5th LSVOS Challenge: Video Instance SegmentationCode1
RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual DiffusionCode1
Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-raysCode1
Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet ExtractionCode1
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy ReconstructionCode1
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion ProcessCode1
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsCode1
3D Detection and Characterisation of ALMA Sources through Deep LearningCode1
Adaptive Unfolding Total Variation Network for Low-Light Image EnhancementCode1
Content-Noise Complementary Learning for Medical Image DenoisingCode1
Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series ForecastingCode1
Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose EstimaitonCode1
Diffusion Models Beat GANs on Image ClassificationCode1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-ThoughtCode1
Diffusion Models for Constrained DomainsCode1
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy BiasesCode1
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack SegmentationCode1
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and GenerationCode1
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video EditingCode1
Diffusion Action SegmentationCode1
Progressive Correspondence Pruning by Consensus LearningCode1
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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