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 3201–3250 of 7282 papers

TitleStatusHype
Optimizing the image correction pipeline for pedestrian detection in the thermal-infrared domain—0
High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching—0
Orthogonal Constrained Minimization with Tensor _2,p Regularization for HSI Denoising and Destriping—0
Oracle Bone Inscriptions Multi-modal Dataset—0
Generalized Robust Fundus Photography-based Vision Loss Estimation for High MyopiaCode0
MRIR: Integrating Multimodal Insights for Diffusion-based Realistic Image Restoration—0
NLP Sampling: Combining MCMC and NLP Methods for Diverse Constrained Sampling—0
Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning—0
Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather—0
Latent Diffusion Model for Generating Ensembles of Climate Simulations—0
UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks—0
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly DetectionCode0
Efficient Terrain Stochastic Differential Efficient Terrain Stochastic Differential Equations for Multipurpose Digital Elevation Model Restoration—0
Diffusion Models for Tabular Data Imputation and Synthetic Data Generation—0
Unrolling Plug-and-Play Gradient Graph Laplacian Regularizer for Image Restoration—0
Learning Robust 3D Representation from CLIP via Dual DenoisingCode0
First Place Solution of 2023 Global Artificial Intelligence Technology Innovation Competition Track 1—0
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations—0
Posterior Sampling with Denoising Oracles via Tilted Transport—0
Learning Frequency-Aware Dynamic Transformers for All-In-One Image Restoration—0
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness—0
Chest-Diffusion: A Light-Weight Text-to-Image Model for Report-to-CXR Generation—0
SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix—0
Deep Unfolding-Aided Parameter Tuning for Plug-and-Play-Based Video Snapshot Compressive Imaging—0
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters—0
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic ForgettingCode0
DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial Optimization Problems—0
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative DenoisingCode0
Diminishing Stereotype Bias in Image Generation Model using Reinforcemenlent Learning Feedback—0
Generative artificial intelligence in ophthalmology: multimodal retinal images for the diagnosis of Alzheimer's disease with convolutional neural networks—0
GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling—0
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy TrainingCode0
ResMaster: Mastering High-Resolution Image Generation via Structural and Fine-Grained Guidance—0
Stationary and Sparse Denoising Approach for Corticomuscular Causality Estimation—0
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification—0
Debiased Recommendation with Noisy FeedbackCode0
Pivotal Auto-Encoder via Self-Normalizing ReLU—0
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction—0
Remaining useful life prediction of rolling bearings based on refined composite multi-scale attention entropy and dispersion entropy—0
Latent diffusion models for parameterization and data assimilation of facies-based geomodels—0
Using Neural Networks for Data Cleaning in Weather Datasets—0
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion PurificationCode0
VividDreamer: Towards High-Fidelity and Efficient Text-to-3D Generation—0
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models—0
Diffusion-Based Failure Sampling for Evaluating Safety-Critical Autonomous SystemsCode0
Neural Residual Diffusion Models for Deep Scalable Vision GenerationCode0
RobGC: Towards Robust Graph Condensation—0
Surgical Triplet Recognition via Diffusion Model—0
Restorer: Removing Multi-Degradation with All-Axis Attention and Prompt GuidanceCode0
MaskPure: Improving Defense Against Text Adversaries with Stochastic PurificationCode0
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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