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 1351–1400 of 7282 papers

TitleStatusHype
Civil Rephrases Of Toxic Texts With Self-Supervised TransformersCode1
A CNN-Based Blind Denoising Method for Endoscopic ImagesCode1
I^2VC: A Unified Framework for Intra- & Inter-frame Video CompressionCode1
IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact RemovalCode1
Convolutional Proximal Neural Networks and Plug-and-Play AlgorithmsCode1
IDR: Self-Supervised Image Denoising via Iterative Data RefinementCode1
ILVR: Conditioning Method for Denoising Diffusion Probabilistic ModelsCode1
Customizing 360-Degree Panoramas through Text-to-Image Diffusion ModelsCode1
Empowering Diffusion Models on the Embedding Space for Text GenerationCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned GuidanceCode1
Image Restoration by Iterative Denoising and Backward ProjectionsCode1
DiffTAD: Temporal Action Detection with Proposal Denoising DiffusionCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
Image Watermarks are Removable Using Controllable Regeneration from Clean NoiseCode1
DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object DetectionCode1
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
Score-based denoising for atomic structure identificationCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric VideosCode1
Chip Placement with Diffusion ModelsCode1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-ThoughtCode1
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising LearningCode1
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NERCode1
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
Inference-Time Text-to-Video Alignment with Diffusion Latent Beam SearchCode1
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic ModelingCode1
-Diff: Infinite Resolution Diffusion with Subsampled Mollified StatesCode1
Input Perturbation Reduces Exposure Bias in Diffusion ModelsCode1
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic ModelsCode1
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video EditingCode1
DialogLM: Pre-trained Model for Long Dialogue Understanding and SummarizationCode1
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack SegmentationCode1
Interpolating between Images with Diffusion ModelsCode1
Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light ScenariosCode1
DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein TracesCode1
Invariance Matters: Empowering Social Recommendation via Graph Invariant LearningCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance ScaleCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
Invertible Denoising Network: A Light Solution for Real Noise RemovalCode1
DETA: Denoised Task Adaptation for Few-Shot LearningCode1
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionCode1
Iterative Gaussianization: from ICA to Random RotationsCode1
IterativePFN: True Iterative Point Cloud FilteringCode1
Joint Frequency and Image Space Learning for MRI Reconstruction and AnalysisCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
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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