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 2401–2450 of 7282 papers

TitleStatusHype
Low-dimensional adaptation of diffusion models: Convergence in total variation—0
FDG-Diff: Frequency-Domain-Guided Diffusion Framework for Compressed Hazy Image RestorationCode0
TeD-Loc: Text Distillation for Weakly Supervised Object LocalizationCode0
Sequential Change Point Detection via Denoising Score Matching—0
Graph Representation Learning with Diffusion Generative Models—0
Interaction Dataset of Autonomous Vehicles with Traffic Lights and Signs—0
Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling—0
Unified 3D MRI Representations via Sequence-Invariant Contrastive LearningCode0
Teacher Encoder-Student Decoder Denoising Guided Segmentation Network for Anomaly Detection—0
Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL—0
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models—0
DenoMAE: A Multimodal Autoencoder for Denoising Modulation SignalsCode0
Nested Annealed Training Scheme for Generative Adversarial Networks—0
Efficient Bearing Sensor Data Compression via an Asymmetrical Autoencoder with a Lifting Wavelet Transform Layer—0
Graph Defense Diffusion Model—0
CNN-based TEM image denoising from first principles—0
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction—0
SCDM: Score-Based Channel Denoising Model for Digital Semantic Communications—0
DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids—0
Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and ReviewCode0
Bias for Action: Video Implicit Neural Representations with Bias Modulation—0
Soft Knowledge Distillation with Multi-Dimensional Cross-Net Attention for Image Restoration Models Compression—0
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps—0
Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion—0
Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise DatasetCode0
Watermarking in Diffusion Model: Gaussian Shading with Exact Diffusion Inversion via Coupled Transformations (EDICT)—0
Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel Acquisition—0
Robust Low-Light Human Pose Estimation through Illumination-Texture Modulation—0
Cloud Removal With PolSAR-Optical Data Fusion Using A Two-Flow Residual Network—0
Generative AI Enabled Robust Sensor Placement in Cyber-Physical Power Systems: A Graph Diffusion Approach—0
ODPG: Outfitting Diffusion with Pose Guided Condition—0
Comparison of Autoencoders for tokenization of ASL datasets—0
Wavelet Integrated Convolutional Neural Network for ECG Signal Denoising—0
Quantum Annealing for Robust Principal Component AnalysisCode0
LLVD: LSTM-based Explicit Motion Modeling in Latent Space for Blind Video Denoising—0
Towards Balanced Continual Multi-Modal Learning in Human Pose Estimation—0
Targeted Adversarial Denoising Autoencoders (TADA) for Neural Time Series Filtration—0
Tuning-Free Long Video Generation via Global-Local Collaborative Diffusion—0
Geophysical inverse problems with measurement-guided diffusion models—0
Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration—0
Exploring Optimal Latent Trajetory for Zero-shot Image Editing—0
Exploring Molecule Generation Using Latent Space Graph DiffusionCode0
Brick-Diffusion: Generating Long Videos with Brick-to-Wall Denoising—0
InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models—0
Two-Dimensional Unknown View Tomography from Unknown Angle Distributions—0
DDRM-PR: Fourier Phase Retrieval using Denoising Diffusion Restoration Models—0
DarkFarseer: Inductive Spatio-temporal Kriging via Hidden Style Enhancement and Sparsity-Noise Mitigation—0
A Self-supervised Diffusion Bridge for MRI Reconstruction—0
Noise-Robust Target-Speaker Voice Activity Detection Through Self-Supervised Pretraining—0
DeTrack: In-model Latent Denoising Learning for Visual Object Tracking—0
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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