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 701–750 of 7282 papers

TitleStatusHype
Interleaved Gibbs Diffusion for Constrained Generation—0
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior—0
Denoising Designs-inherited Search Framework for Image Denoising—0
GrainPaint: A multi-scale diffusion-based generative model for microstructure reconstruction of large-scale objects—0
Is Noise Conditioning Necessary for Denoising Generative Models?—0
Guaranteed Conditional Diffusion: 3D Block-based Models for Scientific Data Compression—0
Contrast-Unity for Partially-Supervised Temporal Sentence Grounding—0
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory SharpeningCode2
Inverse Flow and Consistency Models—0
Exploiting network optimization stability for enhanced PET image denoising using deep image prior—0
CLoCKDistill: Consistent Location-and-Context-aware Knowledge Distillation for DETRs—0
NeuroAMP: A Novel End-to-end General Purpose Deep Neural Amplifier for Personalized Hearing Aids—0
Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion—0
Self-Consistent Model-based Adaptation for Visual Reinforcement Learning—0
Compression-Aware One-Step Diffusion Model for JPEG Artifact RemovalCode2
Classifier-free Guidance with Adaptive ScalingCode1
OptimOTU: Taxonomically aware OTU clustering with optimized thresholds and a bioinformatics workflow for metabarcoding data—0
Residual Transformer Fusion Network for Salt and Pepper Image Denoising—0
Unleashing the Power of Large Language Model for Denoising Recommendation—0
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization—0
Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset—0
SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation—0
Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation—0
Concentration Inequalities for the Stochastic Optimization of Unbounded Objectives with Application to Denoising Score Matching—0
Sparse wavefield reconstruction and denoising with boostlets—0
Multispectral Remote Sensing for Weed Detection in West Australian Agricultural Lands—0
BCDDM: Branch-Corrected Denoising Diffusion Model for Black Hole Image Generation—0
Local Differential Privacy is Not Enough: A Sample Reconstruction Attack against Federated Learning with Local Differential Privacy—0
SurGrID: Controllable Surgical Simulation via Scene Graph to Image Diffusion—0
FlexControl: Computation-Aware ControlNet with Differentiable Router for Text-to-Image GenerationCode0
Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution—0
Diffusion Suction Grasping with Large-Scale Parcel DatasetCode1
A Flag Decomposition for Hierarchical DatasetsCode0
Monte Carlo Tree Diffusion for System 2 Planning—0
Learnable Residual-Based Latent Denoising in Semantic Communication—0
Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single-Image DenoisingCode1
Diffusion Models for Computational Neuroimaging: A SurveyCode0
Do we really have to filter out random noise in pre-training data for language models?—0
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling—0
Dual Caption Preference Optimization for Diffusion ModelsCode0
A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement—0
AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution—0
UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and UnderstandingCode1
On Memory Construction and Retrieval for Personalized Conversational Agents—0
Semantic-Aware Adaptive Video Streaming Using Latent Diffusion Models for Wireless Networks—0
Geometric Machine Learning on EEG Signals—0
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?—0
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure PurificationCode0
Latent Swap Joint Diffusion for 2D Long-Form Latent GenerationCode4
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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