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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–700 of 7282 papers

TitleStatusHype
Diffusion Autoencoders: Toward a Meaningful and Decodable RepresentationCode1
Diffusion-based Graph Generative MethodsCode1
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image RegistrationCode1
Diff-UNet: A Diffusion Embedded Network for Volumetric SegmentationCode1
A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiologyCode1
Diffuse3D: Wide-Angle 3D Photography via Bilateral DiffusionCode1
Diffusion Action SegmentationCode1
Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-raysCode1
DiffusionNER: Boundary Diffusion for Named Entity RecognitionCode1
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion ModelsCode1
DiffStyler: Diffusion-based Localized Image Style TransferCode1
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraintsCode1
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative RefinementCode1
DiffSF: Diffusion Models for Scene Flow EstimationCode1
DiffTAD: Temporal Action Detection with Proposal Denoising DiffusionCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
Empowering Diffusion Models on the Embedding Space for Text GenerationCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic ModelsCode1
Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup FunctionalCode1
Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric VideosCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform GenerationCode1
DialogLM: Pre-trained Model for Long Dialogue Understanding and SummarizationCode1
Action-Conditioned 3D Human Motion Synthesis with Transformer VAECode1
DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein TracesCode1
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image RestorationCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
A Simple and Robust Correlation Filtering Method for Text-based Person SearchCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionCode1
Designing and Training of A Dual CNN for Image DenoisingCode1
DETA: Denoised Task Adaptation for Few-Shot LearningCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation LearningCode1
Diffusion Model for Dense MatchingCode1
DiffO: Single-step Diffusion for Image Compression at Ultra-Low BitratesCode1
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain PackingCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial TrainingCode1
DenoMamba: A fused state-space model for low-dose CT denoisingCode1
Diff-Reg v1: Diffusion Matching Model for Registration ProblemCode1
DiffSim: Taming Diffusion Models for Evaluating Visual SimilarityCode1
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game EncodingCode1
Show:102550
← PrevPage 14 of 146Next →
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