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 3751–3800 of 7282 papers

TitleStatusHype
DiffTAD: Temporal Action Detection with Proposal Denoising DiffusionCode1
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-ConsistencyCode0
Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning—0
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up TablesCode1
DiffuScene: Denoising Diffusion Models for Generative Indoor Scene SynthesisCode0
Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor—0
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceCode1
Controllable Inversion of Black-Box Face Recognition Models via Diffusion—0
Masked Image Training for Generalizable Deep Image DenoisingCode2
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
Pix2Video: Video Editing using Image DiffusionCode1
E-MLB: Multilevel Benchmark for Event-Based Camera DenoisingCode1
3D Human Mesh Estimation from Virtual MarkersCode2
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image RestorationCode1
Leapfrog Diffusion Model for Stochastic Trajectory PredictionCode2
Zero-Shot Noise2Noise: Efficient Image Denoising without any Data—0
Localizing Object-level Shape Variations with Text-to-Image Diffusion ModelsCode1
Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers—0
Pluralistic Aging Diffusion Autoencoder—0
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion ModelsCode1
Diff-UNet: A Diffusion Embedded Network for Volumetric SegmentationCode1
Data-Centric Learning from Unlabeled Graphs with Diffusion ModelCode1
Image Statistics Predict the Sensitivity of Perceptual Quality Metrics—0
Adversarial Counterfactual Visual ExplanationsCode1
Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness—0
Denoising Diffusion Autoencoders are Unified Self-supervised LearnersCode1
DS-Fusion: Artistic Typography via Discriminated and Stylized DiffusionCode1
SUD^2: Supervision by Denoising Diffusion Models for Image Reconstruction—0
Denoising Diffusion Post-Processing for Low-Light Image EnhancementCode1
Gradient flow on extensive-rank positive semi-definite matrix denoising—0
Joint Multi-Scale Tone Mapping and Denoising for HDR Image EnhancementCode0
DiffIR: Efficient Diffusion Model for Image RestorationCode2
P+: Extended Textual Conditioning in Text-to-Image GenerationCode1
ShabbyPages: A Reproducible Document Denoising and Binarization Dataset—0
Efficient Diffusion Training via Min-SNR Weighting StrategyCode1
The Intel Neuromorphic DNS ChallengeCode0
Hybrid Spectral Denoising Transformer with Guided AttentionCode1
Stochastic Interpolants: A Unifying Framework for Flows and DiffusionsCode2
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class LabelsCode1
VideoFusion: Decomposed Diffusion Models for High-Quality Video GenerationCode4
Generating symbolic music using diffusion modelsCode0
Robust Preference-Guided Denoising for Graph based Social RecommendationCode1
Stochastic Segmentation with Conditional Categorical Diffusion ModelsCode1
Subspace Hybrid Beamforming for Head-worn Microphone Arrays—0
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion ModelsCode0
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion—0
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly DetectionCode2
Towards Unsupervised Learning based Denoising of Cyber Physical System Data to Mitigate Security Concerns—0
Guided Speech Enhancement Network—0
DR2: Diffusion-based Robust Degradation Remover for Blind Face RestorationCode1
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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