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 3001–3050 of 7282 papers

TitleStatusHype
Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries—0
Multi-Conditioned Denoising Diffusion Probabilistic Model (mDDPM) for Medical Image Synthesis—0
WaveTransfer: A Flexible End-to-end Multi-instrument Timbre Transfer with Diffusion—0
Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit prior—0
Generating High Dimensional User-Specific Wireless Channels using Diffusion Models—0
aTENNuate: Optimized Real-time Speech Enhancement with Deep SSMs on Raw Audio—0
MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos—0
Reliable Deep Diffusion Tensor Estimation: Rethinking the Power of Data-Driven Optimization Routine—0
TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model—0
PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting—0
Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics—0
McCaD: Multi-Contrast MRI Conditioned, Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis—0
MoManifold: Learning to Measure 3D Human Motion via Decoupled Joint Acceleration Manifolds—0
Misaligned Over-The-Air Computation of Multi-Sensor Data with Wiener-Denoiser NetworkCode0
Diffusion based multi-domain neuroimaging harmonization method with preservation of anatomical details—0
RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance—0
Approximately Invertible Neural Network for Learned Image Compression—0
Self-supervised learning for crystal property prediction via denoising—0
Denoising of photogrammetric dummy head ear point clouds for individual Head-Related Transfer Functions computation—0
P2P-Bridge: Diffusion Bridges for 3D Point Cloud Denoising—0
Enhancing Conditional Image Generation with Explainable Latent Space ManipulationCode0
Enhanced Control for Diffusion Bridge in Image RestorationCode0
Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis—0
DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving—0
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in HistopathologyCode0
RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model—0
A Deep-Learning-Based Label-free No-Reference Image Quality Assessment Metric: Application in Sodium MRI Denoising—0
Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis—0
Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil GenerationCode0
Single Image Denoising via a New Lightweight Learning-Based ModelCode0
ConsistencyTrack: A Robust Multi-Object Tracker with a Generation Strategy of Consistency ModelCode0
A Novel Denoising Technique and Deep Learning Based Hybrid Wind Speed Forecasting Model for Variable Terrain Conditions—0
Sigma Flows for Image and Data Labeling and Learning Structured Prediction—0
MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation—0
CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View Synthesis—0
A Preliminary Exploration Towards General Image Restoration—0
DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose—0
A Multiscale Gradient Fusion Method for Edge Detection in Color Images Utilizing the CBM3D Filter—0
Foodfusion: A Novel Approach for Food Image Composition via Diffusion Models—0
TC-PDM: Temporally Consistent Patch Diffusion Models for Infrared-to-Visible Video TranslationCode0
Bring the Power of Diffusion Model to Defect Detection—0
Non-asymptotic bounds for forward processes in denoising diffusions: Ornstein-Uhlenbeck is hard to beat—0
Decoupled Video Generation with Chain of Training-free Diffusion Model Experts—0
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space ModelCode0
How Diffusion Models Learn to Factorize and Compose—0
General Intelligent Imaging and Uncertainty Quantification by Deterministic Diffusion Model—0
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures—0
IFH: a Diffusion Framework for Flexible Design of Graph Generative ModelsCode0
Variance reduction of diffusion model's gradients with Taylor approximation-based control variate—0
Adapting MIMO video restoration networks to low latency constraints—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