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 601–650 of 7282 papers

TitleStatusHype
Inversion-Free Video Style Transfer with Trajectory Reset Attention Control and Content-Style Bridging—0
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation—0
Illuminating Darkness: Enhancing Real-world Low-light Scenes with Smartphone ImagesCode1
LatexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending—0
Exposure Bias Reduction for Enhancing Diffusion Transformer Feature CachingCode0
MIGA: Mutual Information-Guided Attack on Denoising Models for Semantic Manipulation—0
Generative method for aerodynamic optimization based on classifier-free guided denoising diffusion probabilistic model—0
Two-stage Deep Denoising with Self-guided Noise Attention for Multimodal Medical Images—0
Graph Chirp Signal and Graph Fractional Vertex-Frequency Energy Distribution—0
TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation—0
One-Step Diffusion Model for Image Motion-DeblurringCode1
PixelPonder: Dynamic Patch Adaptation for Enhanced Multi-Conditional Text-to-Image Generation—0
A Light and Tuning-free Method for Simulating Camera Motion in Video GenerationCode1
D3DR: Lighting-Aware Object Insertion in Gaussian Splatting—0
Diffusion Model Based Probabilistic Day-ahead Load Forecasting—0
ProSE: Diffusion Priors for Speech Enhancement—0
Federated Learning for Diffusion Models—0
Speech Audio Generation from dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder—0
PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion ModelCode1
PointDiffuse: A Dual-Conditional Diffusion Model for Enhanced Point Cloud Semantic Segmentation—0
Explainable Synthetic Image Detection through Diffusion Timestep Ensembling—0
WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion ModelsCode0
QArtSR: Quantization via Reverse-Module and Timestep-Retraining in One-Step Diffusion based Image Super-ResolutionCode1
D2GV: Deformable 2D Gaussian Splatting for Video Representation in 400FPSCode2
GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous DrivingCode3
MagicInfinite: Generating Infinite Talking Videos with Your Words and Voice—0
Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling—0
Generative Modeling of Seismic Data using Diffusion Models and its Application to Multi-Purpose Seismic Inverse ProblemsCode0
A Generalist Cross-Domain Molecular Learning Framework for Structure-Based Drug Discovery—0
Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning—0
Optimizing for the Shortest Path in Denoising Diffusion ModelCode1
Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias—0
DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward GuidanceCode1
Building 3D In-Context Learning Universal Model in NeuroimagingCode0
Volume Tells: Dual Cycle-Consistent Diffusion for 3D Fluorescence Microscopy De-noising and Super-Resolution—0
Generative Modeling of Microweather Wind Velocities for Urban Air MobilityCode0
Controllable Motion Generation via Diffusion Modal CouplingCode0
HanDrawer: Leveraging Spatial Information to Render Realistic Hands Using a Conditional Diffusion Model in Single Stage—0
FRMD: Fast Robot Motion Diffusion with Consistency-Distilled Movement Primitives for Smooth Action Generation—0
Pre-training Graph Neural Networks with Structural Fingerprints for Materials Discovery—0
ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalization—0
Near-infrared Image Deblurring and Event Denoising with Synergistic Neuromorphic Imaging—0
Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in DualCode1
Denoising Functional Maps: Diffusion Models for Shape Correspondence—0
MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shiftingCode1
MFM-DA: Instance-Aware Adaptor and Hierarchical Alignment for Efficient Domain Adaptation in Medical Foundation ModelsCode0
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You ThinkCode1
Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language ModelCode0
Geodesic Diffusion Models for Medical Image-to-Image GenerationCode2
Periodic Materials Generation using Text-Guided Joint Diffusion ModelCode0
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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