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

Showing 201250 of 7282 papers

TitleStatusHype
Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design SpaceCode2
Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic PropagationCode2
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-TrainingCode2
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score MatchingCode2
Blue noise for diffusion modelsCode2
FORA: Fast-Forward Caching in Diffusion Transformer AccelerationCode2
DocDiff: Document Enhancement via Residual Diffusion ModelsCode2
DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup TablesCode2
Gaussian Mixture Flow Matching ModelsCode2
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion ModelCode2
DPoser: Diffusion Model as Robust 3D Human Pose PriorCode2
Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action PolicyCode2
Augraphy: A Data Augmentation Library for Document ImagesCode2
Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache SharingCode2
CGVQM+D: Computer Graphics Video Quality Metric and DatasetCode2
Generative Diffusion Models on Graphs: Methods and ApplicationsCode2
CascadedGaze: Efficiency in Global Context Extraction for Image RestorationCode2
CARD: Classification and Regression Diffusion ModelsCode2
Geometry-Complete Diffusion for 3D Molecule Generation and OptimizationCode2
GestureLSM: Latent Shortcut based Co-Speech Gesture Generation with Spatial-Temporal ModelingCode2
dKV-Cache: The Cache for Diffusion Language ModelsCode2
Discrete Diffusion Modeling by Estimating the Ratios of the Data DistributionCode2
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape GenerationCode2
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image PersonalizationCode2
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous DenoisingCode2
HSIGene: A Foundation Model For Hyperspectral Image GenerationCode2
CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASRCode2
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image GenerationCode2
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask LearningCode2
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial OptimizationCode2
DiGress: Discrete Denoising diffusion for graph generationCode2
Implicit Diffusion Models for Continuous Super-ResolutionCode2
CMGAN: Conformer-Based Metric-GAN for Monaural Speech EnhancementCode2
Improved Immiscible Diffusion: Accelerate Diffusion Training by Reducing Its MiscibilityCode2
A Simple and Model-Free Path Filtering Algorithm for Smoothing and AccuracyCode2
Diffusion Transformer PolicyCode2
Diffusion Recommender ModelCode2
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity RecognitionCode2
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory SharpeningCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency ModelCode2
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesCode2
Compressed Image Generation with Denoising Diffusion Codebook ModelsCode2
Compression-Aware One-Step Diffusion Model for JPEG Artifact RemovalCode2
Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral ConstraintsCode2
Diffusion Predictive Control with ConstraintsCode2
Conditional Image Synthesis with Diffusion Models: A SurveyCode2
L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object DetectionCode2
Diffusion Probabilistic Models beat GANs on Medical ImagesCode2
DiffusionTrack: Diffusion Model For Multi-Object TrackingCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified