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 7201–7250 of 7282 papers

TitleStatusHype
Random Sampling for Diffusion-based Adversarial PurificationCode0
Expressive probabilistic sampling in recurrent neural networksCode0
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving RegularizationCode0
Scalable Non-Equivariant 3D Molecule Generation via Rotational AlignmentCode0
Informed Graph Learning By Domain Knowledge Injection and Smooth Graph Signal RepresentationCode0
Mixed Graph Signal Analysis of Joint Image Denoising / InterpolationCode0
Towards Robust Toxic Content ClassificationCode0
Composite Reward Design in PPO-Driven Adaptive FilteringCode0
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic ForgettingCode0
CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion ModelsCode0
Approximate Bayesian Computation with the Sliced-Wasserstein DistanceCode0
Deep End-to-end Fingerprint Denoising and InpaintingCode0
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph LearningCode0
Scaling Laws For Deep Learning Based Image ReconstructionCode0
Compressed Sensing: A Discrete Optimization ApproachCode0
Mixture of Soft Prompts for Controllable Data GenerationCode0
Sliced Wasserstein with Random-Path Projecting DirectionsCode0
EyeBench: A Call for More Rigorous Evaluation of Retinal Image EnhancementCode0
Data-Aware Training Quality Monitoring and Certification for Reliable Deep LearningCode0
A Generative Adversarial Approach To ECG Synthesis And DenoisingCode0
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE TranslationCode0
ρ-Diffusion: A diffusion-based density estimation framework for computational physicsCode0
Deep learning Framework for Mobile MicroscopyCode0
Face De-Spoofing: Anti-Spoofing via Noise ModelingCode0
Face Manifold: Manifold Learning for Synthetic Face GenerationCode0
Face Morphing Attack Detection with Denoising Diffusion Probabilistic ModelsCode0
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging ProblemsCode0
Instance Regularization for Discriminative Language Model Pre-trainingCode0
Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and DestripingCode0
A Comprehensive Comparison of Multi-Dimensional Image Denoising MethodsCode0
Deep Mean-Shift Priors for Image RestorationCode0
Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion ModelCode0
A Dictionary Based Approach for Removing Out-of-Focus BlurCode0
FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion GenerationCode0
Bayes-optimal learning of an extensive-width neural network from quadratically many samplesCode0
Real Image Denoising with Feature AttentionCode0
Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic ModelsCode0
FASPell: A Fast, Adaptable, Simple, Powerful Chinese Spell Checker Based On DAE-Decoder ParadigmCode0
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T TrackingCode0
Two-stage Progressive Residual Dense Attention Network for Image DenoisingCode0
Fast Algorithm for Constrained Linear Inverse ProblemsCode0
Compression Artifacts Reduction by a Deep Convolutional NetworkCode0
Fast and Differentiable Message Passing on Pairwise Markov Random FieldsCode0
Fast and Effective L0 Gradient Minimization by Region FusionCode0
Type Information-Assisted Self-Supervised Knowledge Graph DenoisingCode0
Interacting Diffusion Processes for Event Sequence ForecastingCode0
Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary LearningCode0
Scheduled denoising autoencodersCode0
Model-blind Video Denoising Via Frame-to-frame TrainingCode0
DeepOrientation: convolutional neural network for fringe pattern orientation map estimationCode0
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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