Denoising

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Period ending 2026-09-21

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  1. A Coupled Fourth Order Telegraph Diffusion Framework Using Grayscale Indicators for Image Despeckling

    Apr 26, 2026Manish Kumar, Rajendra K. RaySpeckleImage Denoising

  2. On the Memorization of Consistency Distillation for Diffusion Models

    Apr 26, 2026Bingqing Jiang, Difan ZouDiscrete Diffusion ModelMemorization

  3. Z2Z^2-Sampling: Zero-Cost Zigzag Trajectories for Semantic Alignment in Diffusion Models

    Apr 26, 2026Haosen Li, Wenshuo Chen, Shaofeng Liang +3Diffusion SamplingTrajectory Prediction

  4. BurstGP: Enhancing Raw Burst Image Super Resolution with Generative Priors

    Apr 26, 2026Dong Huo, Tristan Aumentado-Armstrong, Samrudhdhi B. Rangrej +8Generative Super-ResolutionPre-Trained Video Diffusion Models

  5. Measuring Temporal Linguistic Emergence in Diffusion Language Models

    Apr 25, 2026Harry LuDiffusion Language ModelsLarge Language Model Uncertainty

  6. Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning

    Apr 25, 2026Wugeng Zheng, Ziwen Kan, Katie Wang +2Missing ModalitiesMissing Data

  7. VS-DDPM: Efficient Low-Cost Diffusion Model for Medical Modality Translation

    Apr 24, 2026Nikoo Moradi, Gijs Luijten, Behrus Hinrichs-Puladi +43D Latent Diffusion ModelDenoising Diffusion Probabilistic Model

  8. Generative Modeling of Neurodegenerative Brain Anatomy with 4D Longitudinal Diffusion Model

    Apr 24, 2026Nivetha Jayakumar, Swakshar Deb, Bahram Jafrasteh +2Neuroimaging ModelsDiscrete Diffusion Model

  9. Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction

    Apr 24, 2026Yongxiang Lian, Yueyang Cang, Pingge Hu +2Electroencephalography Spatial Super-ResolutionVisual Perception

  10. Accelerating Frequency Domain Diffusion Models with Error-Feedback Event-Driven Caching

    Apr 24, 2026Dong Liu, Haisheng Wang, Yanxuan YuDiscrete Diffusion ModelFrequency Domain

  11. Efficient Diffusion Distillation via Embedding Loss

    Apr 24, 2026Jincheng Ying, Yitao Chen, Li Wenlin +2Discrete Diffusion ModelFew-Step Generation

  12. Breaking Watermarks in the Frequency Domain: A Modulated Diffusion Attack Framework

    Apr 24, 2026Chunpeng Wang, Binyan Qu, Xiaoyu Wang +4WatermarkingDiscrete Diffusion Model

  13. FLARE-BO: Fused Luminance and Adaptive Retinex Enhancement via Bayesian Optimisation for Low-Light Robotic Vision

    Apr 23, 2026Nathan Shankar, Pawel Ladosz, Hujun YinRetinex TheoryRobotic Perception

  14. Dilated CNNs for Periodic Signal Processing: A Low-Complexity Approach

    Apr 23, 2026Eli Gildish, Michael Grebshtein, Igor MakienkoSignal ProcessingWaveforms

  15. DCMorph: Face Morphing via Dual-Stream Cross-Attention Diffusion

    Apr 23, 2026Tahar Chettaoui, Eduarda Caldeira, Guray Ozgur +3Facial RecognitionIdentity-Conditioned Latent Diffusion Models

  16. DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction

    Apr 23, 2026Shiyan Su, Ruyi Zha, Danli Shi +23D Latent Diffusion ModelDiffusion Refinement

  17. Pre-process for segmentation task with nonlinear diffusion filters

    Apr 23, 2026Javier Sanguino, Carlos Platero, Olga VelascoDiffusion EditingDiffusion Dynamics

  18. Latent Denoising Improves Visual Alignment in Large Multimodal Models

    Apr 23, 2026Dhruv Parikh, Jacob Fein-Ashley, Rajgopal Kannan +1Visual TokensVisual Representations

  19. AttDiff-GAN: A Hybrid Diffusion-GAN Framework for Facial Attribute Editing

    Apr 23, 2026Wenmin Huang, Weiqi Luo, Xiaochun Cao +1Diffusion EditingDiscrete Diffusion Model

  20. The Feedback Hamiltonian is the Score Function: A Diffusion-Model Framework for Quantum Trajectory Reversal

    Apr 23, 2026Sagar Dubey, Alan JohnHamiltonianFeynman-Kac

  21. DWTSumm: Discrete Wavelet Transform for Document Summarization

    Apr 22, 2026Rana Salama, Abdou Youssef, Mona DiabSummarizationLarge Language Model Generation

  22. Optimizing Diffusion Priors in Image Reconstruction from a Single Observation

    Apr 22, 2026Frederic Wang, Katherine L. BoumanDiffusion PriorsIll-Posed Inverse Problem

  23. LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model

    Apr 22, 2026Inclusion AI, Tiwei Bie, Haoxing Chen +15Large Language Model BackbonesVisual Tokens

  24. Amortized Vine Copulas for High-Dimensional Density and Information Estimation

    Apr 22, 2026Houman SafaaiGaussian CopulaMaximum Likelihood

  25. Cold-Start Forecasting of New Product Life-Cycles via Conditional Diffusion Models

    Apr 22, 2026Ruihan Zhou, Zishi Zhang, Jinhui Han +2Conditional DistributionDiscrete Diffusion Model

  26. Normalizing Flows with Iterative Denoising

    Apr 21, 2026Tianrong Chen, Jiatao Gu, David Berthelot +2Normalizing FlowsDenoising Diffusion Probabilistic Model

  27. FASTER: Value-Guided Sampling for Fast RL

    Apr 21, 2026Perry Dong, Alexander Swerdlow, Dorsa Sadigh +1Diffusion PoliciesDeep Reinforcement Learning

  28. RF-HiT: Rectified Flow Hierarchical Transformer for General Medical Image Segmentation

    Apr 21, 2026Ahmed Marouane Djouamaa, Abir Belaala, Abdellah Zakaria Sellam +3Medical Image SegmentationHybrid Transformer

  29. HarmoniDiff-RS: Training-Free Diffusion Harmonization for Satellite Image Composition

    Apr 21, 2026Xiaoqi Zhuang, Jefersson A. Dos Santos, Jungong HanRemote SensingVisible Image Fusion

  30. Industrial Surface Defect Detection via Diffusion Generation and Asymmetric Student-Teacher Network

    Apr 21, 2026Shuo Feng, Runlin Zhou, Yuyang Li +1Scalable Defect DetectionDenoising Diffusion Probabilistic Model

  31. Learning to Credit the Right Steps: Objective-aware Process Optimization for Visual Generation

    Apr 21, 2026Rui Li, Ke Hao, Yuanzhi Liang +4Denoising TrajectoryVisual Generation

  32. Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation

    Apr 21, 2026Johannes Schusterbauer, Ming Gui, Yusong Li +3Large-Scale Image GenerationImage Generation

  33. One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models

    Apr 20, 2026Chris Cameron, Wangzheng Wang, Nikita Ivanov +3Denoising Diffusion Probabilistic ModelImage Denoising

  34. Discriminative-Generative Synergy for Occlusion Robust 3D Human Mesh Recovery

    Apr 20, 2026Yang Liu, Zhiyong ZhangHuman Mesh RecoveryGenerative Priors

  35. NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization

    Apr 20, 2026Enshu Liu, Xuefei Ning, Yu Wang +1Diffusion Language ModelsDiffusion Sampling

  36. One-Step Diffusion with Inverse Residual Fields for Unsupervised Industrial Anomaly Detection

    Apr 20, 2026Boan Zhang, Wen Li, Guanhua Yu +3Zero-Shot Anomaly DetectionDiscrete Diffusion Model

  37. One Pass for All: A Discrete Diffusion Model for Knowledge Graph Triple Set Prediction

    Apr 20, 2026Jihong Guan, Jiaqi Wang, Wengen Li +3Knowledge Graph CompletionRdf

  38. DiffuSAM: Diffusion Guided Zero-Shot Object Grounding for Remote Sensing Imagery

    Apr 20, 2026Geet Sethi, Panav Shah, Ashutosh Gandhe +1Remote Sensing Image SegmentationSequential Visual Localization

  39. Class-specific diffusion models improve military object detection in a low-data domain

    Apr 20, 2026Ella P. Fokkinga, Jan Erik van Woerden, Thijs A. Eker +4Synthetic Image DetectionObject Detection

  40. Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing

    Apr 20, 2026Kijung Jeon, Michael Muehlebach, Molei TaoDiffusion SamplingInequality Constraints

  41. AnyLift: Scaling Motion Reconstruction from Internet Videos via 2D Diffusion

    Apr 20, 2026Hongjie Li, Heng Yu, Jiaman Li +4Synthetic Motion DatasetsAvatar Reconstruction

  42. Score-Based Matching with Target Guidance for Cryo-EM Denoising

    Apr 20, 2026Xiaoqi Wu, Xueying Zhan, Wen Li +3Cryo-Electron MicroscopyImage Denoising

  43. Grokking of Diffusion Models: Case Study on Modular Addition

    Apr 20, 2026Joon Hyeok Kim, Yong-Hyun Park, Mattis Dalsætra Østby +1Discrete Diffusion ModelModular Addition

  44. Low Light Image Enhancement Challenge at NTIRE 2026

    Apr 19, 2026George Ciubotariu, Sharif S M A, Abdur Rehman +90Low-Light Image EnhancementLow-Resolution

  45. Trustworthy deep domain adaptation for wearable photoplethysmography signal analysis with decision-theoretic uncertainty quantification

    Apr 19, 2026Ciaran BenchDomain AdaptationPixel-Level Prediction

  46. Learned Nonlocal Feature Matching and Filtering for RAW Image Denoising

    Apr 19, 2026Marco Sánchez-Beeckman, Antoni BuadesImage DenoisingImage Processing

  47. Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models

    Apr 19, 2026Jeongjae Lee, Jinho Chang, Jeongsol Kim +1Score-Based Diffusion ModelTraining-Free Reward Alignment

  48. Back to Repair: A Minimal Denoising Network for Time Series Anomaly Detection

    Apr 19, 2026Kadir-Kaan Özer, René Ebeling, Markus EnzweilerTime-Series Anomaly DetectionTime Series

  49. Interpolating Discrete Diffusion Models with Controllable Resampling

    Apr 19, 2026Marcel Kollovieh, Sirine Ayadi, Stephan GünnemannDiscrete Diffusion ModelResampling

  50. Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific Tuning

    Apr 18, 2026Yingzhi Xia, Setthakorn Tanomkiattikun, Liangli Zhen +1Ill-Posed Inverse ProblemInverse Problem

  51. Extraction of informative statistical features in the problem of forecasting time series generated by It{ô}-type processes

    Apr 18, 2026Victor Korolev, Mikhail Ivanov, Tatiana Kukanova +4Time SeriesStochastic Differential Equations

  52. Frequency-Decomposed INR for NIR-Assisted Low-Light RGB Image Denoising

    Apr 18, 2026Ligen Shi, Zengyu Pang, Chang Liu +2Low-Light Image EnhancementImage Restoration

  53. Diffusion-Based Optimization for Accelerated Convergence of Redundant Dual-Arm Minimum Time Problems

    Apr 17, 2026Jushan Chen, Jonathan Fried, Santiago PaternainTrajectory OptimizationPrimal-Dual Methods

  54. Towards In-Context Tone Style Transfer with A Large-Scale Triplet Dataset

    Apr 17, 2026Yuhai Deng, Huimin She, Wei Shen +4Photorealistic Style TransferLarge Image Datasets

  55. Elucidating the SNR-t Bias of Diffusion Probabilistic Models

    Apr 17, 2026Meng Yu, Lei Sun, Jianhao Zeng +2Denoising Diffusion Probabilistic ModelImage Denoising

  56. Efficient Video Diffusion Models: Advancements and Challenges

    Apr 17, 2026Shitong Shao, Lichen Bai, Pengfei Wan +2Pre-Trained Video Diffusion ModelsControllable Video Generation

  57. Diffusion Autoencoder for Unsupervised Artifact Restoration in Handheld Fundus Images

    Apr 17, 2026Mathumetha Palani, Kavya Puthumana, Ayantika Das +1Fundus ImagesImage Restoration

  58. Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and Direction

    Apr 17, 2026Jingyuan Li, Xiaoyi Jiang, Fukang Wen +5Diffusion ProcessesDiscrete Diffusion Model

  59. CLIMB: Controllable Longitudinal Brain Image Generation using Mamba-based Latent Diffusion Model and Gaussian-aligned Autoencoder

    Apr 17, 2026Duy-Phuong Dao, Muhammad Taqiyuddin, Jahae Kim +4Identity-Conditioned Latent Diffusion ModelsLatent Diffusion Model

  60. RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference

    Apr 16, 2026Yuxin Liu, Yiqing Dong, Wenxue Yu +4Image DenoisingActive Motor Noise Cancellation