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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1801–1850 of 7282 papers

TitleStatusHype
Grids Often Outperform Implicit Neural RepresentationsCode0
Enhancing Motion Dynamics of Image-to-Video Models via Adaptive Low-Pass Guidance—0
WD-DETR: Wavelet Denoising-Enhanced Real-Time Object Detection Transformer for Robot Perception with Event Cameras—0
Diffusion Models for Safety Validation of Autonomous Driving Systems—0
A Simple Analysis of Discretization Error in Diffusion Models—0
Plug-and-Play Linear Attention for Pre-trained Image and Video Restoration ModelsCode0
Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion Models in a Vision-Language-Action FrameworkCode0
Diffusion Models-Aided Uplink Channel Estimation for RIS-Assisted Systems—0
Diffusion models under low-noise regimeCode0
Multi-Step Guided Diffusion for Image Restoration on Edge Devices: Toward Lightweight Perception in Embodied AI—0
Conditional Denoising Diffusion for ISAC Enhanced Channel Estimation in Cell-Free 6G—0
Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor—0
Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics—0
Latent Diffusion Model Based Denoising Receiver for 6G Semantic Communication: From Stochastic Differential Theory to Application—0
Pseudo-Siamese Blind-Spot Transformers for Self-Supervised Real-World DenoisingCode0
Learning normalized image densities via dual score matchingCode0
S2GO: Streaming Sparse Gaussian Occupancy Prediction—0
FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion—0
How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control—0
MARBLE: Material Recomposition and Blending in CLIP-Space—0
DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models—0
Object-centric 3D Motion Field for Robot Learning from Human Videos—0
SVD-Based Graph Fractional Fourier Transform on Directed Graphs and Its Application—0
A Poisson-Guided Decomposition Network for Extreme Low-Light Image Enhancement—0
Diffusion Transformer-based Universal Dose Denoising for Pencil Beam Scanning Proton Therapy—0
Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems—0
YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency—0
CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion Model—0
Unrolling Nonconvex Graph Total Variation for Image Denoising—0
FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts—0
InfiniteAudio: Infinite-Length Audio Generation with Consistency—0
ADFormer: Aggregation Differential Transformer for Passenger Demand ForecastingCode0
Channel-adaptive Cross-modal Generative Semantic Communication for Point Cloud Transmission—0
Image Generation from Contextually-Contradictory Prompts—0
NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge—0
ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels—0
Psi-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models—0
ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search—0
Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual TrackingCode0
Latent Wavelet Diffusion: Enabling 4K Image Synthesis for Free—0
DeGLIF for Label Noise Robust Node Classification using GNNs—0
On Designing Diffusion Autoencoders for Efficient Generation and Representation LearningCode0
RealDrive: Retrieval-Augmented Driving with Diffusion Models—0
Aligning Protein Conformation Ensemble Generation with Physical Feedback—0
Diffusion-Based Symbolic Regression—0
STAR-Net: An Interpretable Model-Aided Network for Remote Sensing Image DenoisingCode0
TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching—0
ComposeAnything: Composite Object Priors for Text-to-Image Generation—0
A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement—0
Interactive Video Generation via Domain Adaptation—0
Show:102550
← PrevPage 37 of 146Next →
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