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 2051–2100 of 7282 papers

TitleStatusHype
Efficient Medical Image Restoration via Reliability Guided Learning in Frequency Domain—0
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models—0
Predicting Wave Dynamics using Deep Learning with Multistep Integration Inspired Attention and Physics-Based Loss Decomposition—0
AgentPolyp: Accurate Polyp Segmentation via Image Enhancement Agent—0
Cross-Frequency Implicit Neural Representation with Self-Evolving Parameters—0
InterAnimate: Taming Region-aware Diffusion Model for Realistic Human Interaction Animation—0
ADT: Tuning Diffusion Models with Adversarial Supervision—0
Efficient and Robust Remote Sensing Image Denoising Using Randomized Approximation of Geodesics' Gramian on the Manifold Underlying the Patch Space—0
IlluSign: Illustrating Sign Language Videos by Leveraging the Attention Mechanism—0
Taming Consistency Distillation for Accelerated Human Image Animation—0
H3AE: High Compression, High Speed, and High Quality AutoEncoder for Video Diffusion Models—0
Separate to Collaborate: Dual-Stream Diffusion Model for Coordinated Piano Hand Motion Synthesis—0
Decoupled Diffusion Sparks Adaptive Scene Generation—0
Score Matching Diffusion Based Feedback Control and Planning of Nonlinear Systems—0
VibrantLeaves: A principled parametric image generator for training deep restoration modelsCode0
Ising Models with Hidden Markov Structure: Applications to Probabilistic Inference in Machine Learning—0
DiffMOD: Progressive Diffusion Point Denoising for Moving Object Detection in Remote Sensing—0
AB-Cache: Training-Free Acceleration of Diffusion Models via Adams-Bashforth Cached Feature Reuse—0
Mitigating Long-tail Distribution in Oracle Bone Inscriptions: Dataset, Model, and Benchmark—0
Computationally iterative methods for salt-and-pepper denoising—0
Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR << 1 Imaging—0
seg2med: a bridge from artificial anatomy to multimodal medical images—0
UniFlowRestore: A General Video Restoration Framework via Flow Matching and Prompt Guidance—0
Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization—0
Novel Diffusion Models for Multimodal 3D Hand Trajectory PredictionCode0
Unifying and extending Diffusion Models through PDEs for solving Inverse Problems—0
Zero-Shot Low-dose CT Denoising via Sinogram Flicking—0
V2V3D: View-to-View Denoised 3D Reconstruction for Light-Field Microscopy—0
Emergency Communication: OTFS-Based Semantic Transmission with Diffusion Noise Suppression—0
Physical spline for denoising object trajectory data by combining splines, ML feature regression and model knowledgeCode0
Under-Sampled High-Dimensional Data Recovery via Symbiotic Multi-Prior Tensor Reconstruction—0
Releasing Differentially Private Event Logs Using Generative ModelsCode0
AstroClearNet: Deep image prior for multi-frame astronomical image restoration—0
Examining Joint Demosaicing and Denoising for Single-, Quad-, and Nona-Bayer Patterns—0
OSDM-MReg: Multimodal Image Registration based One Step Diffusion Model—0
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures—0
Improved Stochastic Texture Filtering Through Sample Reuse—0
DDPM Score Matching and Distribution Learning—0
Federated Learning for Medical Image Classification: A Comprehensive Benchmark—0
REWIND: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning—0
BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis—0
Turbocharging Fluid Antenna Multiple Access—0
Variational Self-Supervised Learning—0
Simultaneous Motion And Noise Estimation with Event CamerasCode0
TQD-Track: Temporal Query Denoising for 3D Multi-Object Tracking—0
On the Connection Between Diffusion Models and Molecular Dynamics—0
Dynamic Importance in Diffusion U-Net for Enhanced Image SynthesisCode0
FaR: Enhancing Multi-Concept Text-to-Image Diffusion via Concept Fusion and Localized Refinement—0
Roto-Translation Invariant Metrics on Position-Orientation Space—0
DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework—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