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 901–950 of 7282 papers

TitleStatusHype
ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency DistillationCode1
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising DiffusionCode1
Single and Few-step Diffusion for Generative Speech EnhancementCode1
Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior EnhancementCode1
Beta DiffusionCode1
CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme ConditionsCode1
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy ReconstructionCode1
Multi-view Self-supervised Disentanglement for General Image DenoisingCode1
Underwater Image Enhancement by Transformer-based Diffusion Model with Non-uniform Sampling for Skip StrategyCode1
Reuse and Diffuse: Iterative Denoising for Text-to-Video GenerationCode1
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic ManipulationCode1
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic SegmenterCode1
lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systemsCode1
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRICode1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsCode1
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image ReconstructionCode1
1st Place Solution for the 5th LSVOS Challenge: Video Instance SegmentationCode1
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG TranslationCode1
Full-dose Whole-body PET Synthesis from Low-dose PET Using High-efficiency Denoising Diffusion Probabilistic Model: PET Consistency ModelCode1
High-quality Image Dehazing with Diffusion ModelCode1
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion ModelCode1
Diffusion Model as Representation LearnerCode1
Physics-Guided Human Motion Capture with Pose Probability ModelingCode1
Denoising diffusion-based MRI to CT image translation enables automated spinal segmentationCode1
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
Far3D: Expanding the Horizon for Surround-view 3D Object DetectionCode1
Learning A Coarse-to-Fine Diffusion Transformer for Image RestorationCode1
Self-Reference Deep Adaptive Curve Estimation for Low-Light Image EnhancementCode1
Denoising Diffusion Probabilistic Model for Retinal Image Generation and SegmentationCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
Precipitation nowcasting with generative diffusion modelsCode1
Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial BranchesCode1
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE SolversCode1
Masked Diffusion as Self-supervised Representation LearnerCode1
Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image DenoisingCode1
NNVISR: Bring Neural Network Video Interpolation and Super Resolution into Video Processing FrameworkCode1
Generative Approach for Probabilistic Human Mesh Recovery using Diffusion ModelsCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain ImagesCode1
Patched Denoising Diffusion Models For High-Resolution Image SynthesisCode1
EC-Conf: An Ultra-fast Diffusion Model for Molecular Conformation Generation with Equivariant ConsistencyCode1
Random Sub-Samples Generation for Self-Supervised Real Image DenoisingCode1
Towards General Low-Light Raw Noise Synthesis and ModelingCode1
DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial TrainingCode1
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion ModelsCode1
Crystal Structure Prediction by Joint Equivariant DiffusionCode1
Ultrasound Image Reconstruction with Denoising Diffusion Restoration ModelsCode1
Artifact Restoration in Histology Images with Diffusion Probabilistic ModelsCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
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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