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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 651–700 of 7282 papers

TitleStatusHype
Beyond Image Prior: Embedding Noise Prior into Conditional Denoising TransformerCode1
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive TrainingCode1
Multi-modal Crowd Counting via a Broker ModalityCode1
Asymmetric Mask Scheme for Self-Supervised Real Image DenoisingCode1
3D Vessel Graph Generation Using Denoising DiffusionCode1
Heterogeneous window transformer for image denoisingCode1
Pan-denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total VariationCode1
FreeCompose: Generic Zero-Shot Image Composition with Diffusion PriorCode1
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image SynthesisCode1
Stochastic Solutions for Simultaneous Seismic Data Denoising and Reconstruction via Score-based Generative ModelsCode1
ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic ForecastingCode1
DPEC: Dual-Path Error Compensation Method for Enhanced Low-Light Image ClarityCode1
TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizingCode1
Zero-Shot Image Denoising for High-Resolution Electron MicroscopyCode1
Latent Denoising Diffusion GAN: Faster sampling, Higher image qualityCode1
Consistency^2: Consistent and Fast 3D Painting with Latent Consistency ModelsCode1
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video EditingCode1
DenoiseRep: Denoising Model for Representation LearningCode1
Graph Bottlenecked Social RecommendationCode1
fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functionsCode1
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse ProblemsCode1
Stable Neighbor Denoising for Source-free Domain Adaptive SegmentationCode1
Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel NoisesCode1
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented GenerationCode1
Denoising-Aware Contrastive Learning for Noisy Time SeriesCode1
Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential EquationsCode1
Coarse-To-Fine Tensor Trains for Compact Visual RepresentationsCode1
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural NetworksCode1
TIDMAD: Time Series Dataset for Discovering Dark Matter with AI DenoisingCode1
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion ModelsCode1
DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised h-transformCode1
Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity RecognitionCode1
Diffusion Policies creating a Trust Region for Offline Reinforcement LearningCode1
DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the WildCode1
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model DynamicsCode1
OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects SupervisionCode1
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-ResolutionCode1
Learning to Discretize Denoising Diffusion ODEsCode1
Adversarial Schrödinger Bridge MatchingCode1
I^2VC: A Unified Framework for Intra- & Inter-frame Video CompressionCode1
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-DiffusionCode1
RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image DehazingCode1
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction DetectionCode1
SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation LearningCode1
Structure-based drug design by denoising voxel gridsCode1
AdsorbDiff: Adsorbate Placement via Conditional Denoising DiffusionCode1
Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric VideosCode1
CCDM: Continuous Conditional Diffusion Models for Image GenerationCode1
A text-based, generative deep learning model for soil reflectance spectrum simulation in the VIS-NIR (400-2499 nm) bandsCode1
Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image TransmissionCode1
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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