Denoising

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Period ending 2026-09-21

25 new papers

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Period ending 2026-09-14

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Period ending 2026-09-07

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  1. LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories

    Apr 16, 2026Zhanhao Liang, Tao Yang, Jie Wu +2Hierarchical Flow MatchingLatent Representation Alignment

  2. Reward-Aware Trajectory Shaping for Few-step Visual Generation

    Apr 16, 2026Rui Li, Bingyu Li, Yuanzhi Liang +3Few-Step GenerationVisual Generation

  3. SynHAT: A Two-stage Coarse-to-Fine Diffusion Framework for Synthesizing Human Activity Traces

    Apr 16, 2026Rongchao Xu, Lin Jiang, Dahai Yu +2Human Activity RecognitionSynagent

  4. DVFace: Spatio-Temporal Dual-Prior Diffusion for Video Face Restoration

    Apr 16, 2026Zheng Chen, Bowen Chai, Rongjun Gao +7Photorealistic Video RestorationBlind Face Restoration

  5. FrameCrafter: Novel View Synthesis as Video Completion

    Apr 9, 2026Qi Wu, Khiem Vuong, Minsik Jeon +2Pre-Trained Video Diffusion ModelsNovel View Synthesis

  6. Modelling Gas-Phase Reaction Kinetics with Guided Particle Diffusion Sampling

    Apr 8, 2026Andrew Millard, Zheng Zhao, Henrik PedersenDiffusion SamplingAdvection-Reaction-Diffusion

  7. Training-Free Refinement of Flow Matching with Divergence-based Sampling

    Apr 6, 2026Yeonwoo Cha, Jaehoon Yoo, Semin Kim +3Generative Flow NetworksDiffusion Sampling

  8. ML-based approach to classification and generation of structured light propagation in turbulent media

    Apr 4, 2026Aokun Wang, Anjali Nair, Zhongjian Wang +1SpeckleDiscrete Diffusion Model

  9. Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation

    Apr 3, 2026Xingtong Ge, Yi Zhang, Yushi Huang +6Autoregressive Video GenerationImage Denoising

  10. Asymptotic Learning Curves for Diffusion Models with Random Features Score and Manifold Data

    Mar 24, 2026Anand Jerry George, Nicolas MacrisScore-Based Diffusion ModelLow-Dimensional Structure

  11. SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis

    Mar 23, 2026Bingxuan Zhao, Qing Zhou, Chuang Yang +1Remote SensingDenoising Diffusion Probabilistic Model

  12. Revisiting Autoregressive Models for Generative Image Classification

    Mar 19, 2026Ilia Sudakov, Artem Babenko, Dmitry BaranchukAutoregressive Image GenerationGenerative Models

  13. V-Co: A Closer Look at Visual Representation Alignment via Co-Denoising

    Mar 17, 2026Han Lin, Xichen Pan, Zun Wang +4Image DenoisingLoss Function

  14. LatSearch: Latent Reward-Guided Search for Faster Inference-Time Scaling in Video Diffusion

    Mar 15, 2026Zengqun Zhao, Ziquan Liu, Yu Cao +5Pre-Trained Video Diffusion ModelsDenoising Trajectory

  15. Event-Driven Video Generation

    Mar 12, 2026Chika Maduabuchi, Jindong WangText-To-Video ModelsImage Denoising

  16. Local Message-Passing for Discrete Graph Generation

    Mar 9, 2026Jay Revolinsky, Harry Shomer, Jiliang TangMessage Passing Neural NetworksDenoising Diffusion Probabilistic Model

  17. Training Flow Matching: The Role of Weighting and Parameterization

    Mar 6, 2026Anne Gagneux, Ségolène Martin, Rémi Gribonval +1Denoising Diffusion Probabilistic ModelGenerative Quality

  18. Volumetric Directional Diffusion: Anchoring Uncertainty Quantification in Anatomical Consensus for Ambiguous Medical Image Segmentation

    Mar 4, 2026Chao Wu, Mahesh Bhosale, Kangxian Xie +3Medical Image Segmentation3D Latent Diffusion Model

  19. An Interpretable, Controllable Time-Varying IIR Denoiser for On-Device Assistive Hearing

    Mar 3, 2026Riccardo Rota, Kiril Ratmanski, Jozef Coldenhoff +1Speech EnhancementAdjustable Equalizer Curve

  20. 3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems

    Mar 2, 2026Narges Moeini, Namhoon Kim, Justin Romberg +1VolumeImage Denoising

  21. Teacher-Guided Causal Interventions for Image Denoising: Orthogonal Content-Noise Disentanglement in Vision Transformers

    Mar 1, 2026Kuai Jiang, Zhaoyan Ding, Guijuan Zhang +2Image DenoisingSelf-Supervised Vision Transformers

  22. RSTNet: Enhancing Small-Target Recognition in Noisy SAR Imagery via Robust Feature Learning and Distribution-Aware Regression

    Feb 27, 2026Xiaojing Zhao, Shiyang Li, Zenan Chu +5Synthetic Aperture RadarYolo26

  23. Enhanced Diffusion Sampling: Efficient Rare Event Sampling and Free Energy Calculation with Diffusion Models

    Feb 18, 2026Yu Xie, Ludwig Winkler, Lixin Sun +10Diffusion SamplingMolecular Dynamics

  24. Efficient Sampling with Discrete Diffusion Models: Sharp and Adaptive Guarantees

    Feb 16, 2026Daniil Dmitriev, Zhihan Huang, Yuting WeiScore-Based Diffusion ModelDiscrete Diffusion Model

  25. Estimation of instrument and noise parameters for inverse problem based on prior diffusion model

    Feb 12, 2026Jean-François GiovannelliPosterior SamplingInverse Problem

  26. Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO

    Feb 6, 2026Yunze Tong, Mushui Liu, Canyu Zhao +7Generative Flow NetworksFlow-Grpo

  27. Score-based diffusion models for severely ill-posed problems in diffuse optical tomography

    Feb 3, 2026Fabian Schneider, Meghdoot Mozumder, Konstantin Tamarov +4Ill-Posed Inverse ProblemScore-Based Diffusion Model

  28. A Random Matrix Theory Perspective on the Consistency of Diffusion Models

    Feb 2, 2026Binxu Wang, Jacob Zavatone-Veth, Cengiz PehlevanDiscrete Diffusion ModelTraining-Inference Mismatch

  29. Window-Diffusion: Accelerating Diffusion Language Model Inference with Windowed Token Pruning and Caching

    Jan 28, 2026Fengrui Zuo, Zhiwei Ke, Yiming Liu +3Diffusion Language ModelsLLM Inference Efficiency

  30. Semi-Supervised Domain Adaptation with Latent Diffusion for Pathology Image Classification

    Jan 23, 2026Tengyue Zhang, Ruiwen Ding, Luoting Zhuang +3Domain AdaptationMedical Image Generation

  31. Ambient Dataloops: Generative Models for Dataset Refinement

    Jan 21, 2026Adrián Rodríguez-Muñoz, William Daspit, Adam Klivans +3Discrete Diffusion ModelGenerative Models

  32. Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation

    Jan 21, 2026Yifei Liu, Changxing Ding, Ling Guo +2Text-To-Motion GenerationPre-Trained Video Diffusion Models

  33. Anatomically Guided Latent Diffusion for Brain MRI Progression Modeling

    Jan 21, 2026Cheng Wan, Bahram Jafrasteh, Ehsan Adeli +2Identity-Conditioned Latent Diffusion ModelsLatent Diffusion Model

  34. Fast Score-Based Sampling via Log-Concave Reductions

    Dec 30, 2025M. J. WainwrightNon-Log-ConcaveOptimal Sample Complexity

  35. Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion

    Dec 29, 2025Hau-Shiang Shiu, Chin-Yang Lin, Zhixiang Wang +4Autoregressive DiffusionImage Denoising

  36. JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference

    Dec 28, 2025Niels Bracher, Lars Kühmichel, Desi R. Ivanova +3Bayesian Experimental DesignBayesian

  37. CoDi -- an exemplar-conditioned diffusion model for low-shot counting

    Dec 23, 2025Grega Šuštar, Jer Pelhan, Alan Lukežič +1CountingDiscrete Diffusion Model

  38. Control Variate Score Matching for Diffusion Models

    Dec 23, 2025Khaled Kahouli, Romuald Elie, Klaus-Robert Müller +3Score-Based Diffusion ModelEstimators

  39. MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture

    Dec 22, 2025Hui Li, Fu-Yun Wang, Haoyuan Xia +4Discrete Diffusion ModelInterpolation

  40. Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs

    Dec 20, 2025David Graber, Victor Armegioiu, Rebecca Buller +1Out-Of-Distribution DetectionMolecular Graphs

  41. EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance

    Dec 19, 2025Ankit Yadav, Ta Duc Huy, Lingqiao LiuDiffusion SamplingGenerative Quality

  42. GMODiff: One-Step Gain Map Refinement with Diffusion Priors for HDR Reconstruction

    Dec 18, 2025Tao Hu, Weiyu Zhou, Yanjie Tu +4High Dynamic RangeDiffusion Priors

  43. EMFusion: Uncertainty-Aware Conditional Diffusion Model for Multivariate Narrow-band Exposure Forecasting

    Dec 17, 2025Zijiang Yan, Yixiang Huang, Jianhua Pei +2Predictive UncertaintyDiscrete Diffusion Model

  44. Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes

    Dec 17, 2025Hanqing Jin, Renyuan Xu, Yanzhao YangStochastic Optimal ControlStochastic Differential Equations

  45. Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding

    Dec 16, 2025Nando Metzger, Prune Truong, Goutam Bhat +2Stereo Vision3D Object Understanding

  46. GimbalDiffusion: Gravity-Aware Camera Control for Video Generation

    Dec 9, 2025Frédéric Fortier-Chouinard, Yannick Hold-Geoffroy, Valentin Deschaintre +2Controllable Video GenerationCamera Control

  47. Single-step Diffusion-based Video Coding with Semantic-Temporal Guidance

    Dec 8, 2025Naifu Xue, Zhaoyang Jia, Jiahao Li +4Neural Video CodecsVideo Coding

  48. Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability

    Dec 5, 2025Shizhan Liu, Xinran Deng, Zhuoyi Yang +3Variational AutoencoderLatent Diffusion Model

  49. Weight Space Representation Learning via Neural Field Adaptation

    Dec 1, 2025Zhuoqian Yang, Mathieu Salzmann, Sabine SüsstrunkWeight-SpaceNeural Fields

  50. Diffusion Model in Latent Space for Medical Image Segmentation Task

    Dec 1, 2025Ngoc Huynh Trinh, Hai Toan Nguyen, Son Ba Luong +1Medical Image SegmentationIdentity-Conditioned Latent Diffusion Models

  51. Freeze, Diffuse, Decode: Task-Aware Adaptation of Transformer Embeddings for Antimicrobial Peptide Design

    Nov 28, 2025Pankhil Gawade, Adam Izdebski, Myriam Lizotte +4Generative Pretrained TransformersEmbedding Dimension

  52. StyleFusion360: View-Consistent Head Stylization via Adaptive Style Modulation

    Nov 27, 2025Furkan Guzelant, Arda Goktogan, Tarık Kaya +1StylizationAnimatable 3D Human Avatars

  53. GENA3D: Generative Amodal 3D Modeling by Bridging 2D Priors and 3D Coherence

    Nov 26, 2025Junwei Zhou, Yu-Wing Tai3D Generation3D Geometry

  54. Learning to Generate Human-Human-Object Interactions from Textual Descriptions

    Nov 25, 2025Jeonghyeon Na, Sangwon Baik, Inhee Lee +2Articulated ObjectsHuman Motion Generation

  55. Jacobian-Aware Posterior Sampling for Inverse Problems

    Nov 23, 2025Liav Hen, Tom Tirer, Raja Giryes +1Posterior SamplingDenoising Diffusion Probabilistic Model

  56. DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing

    Nov 21, 2025Hao Chen, Renzheng Zhang, Scott S. HowardDiffusion PriorsIll-Posed Inverse Problem

  57. DeltaDeno: Zero-Shot Anomaly Generation via Delta-Denoising Attribution

    Nov 21, 2025Chaoran Xu, Chengkan Lv, Qiyu Chen +3Image DenoisingAnomaly

  58. A Machine Learning-Driven Solution for Denoising Inertial Confinement Fusion Images

    Nov 20, 2025Asya Y. Akkus, Bradley T. Wolfe, Pinghan Chu +7Image ReconstructionInertial Confinement Fusion

  59. Distribution Matching Distillation Meets Reinforcement Learning

    Nov 17, 2025Dengyang Jiang, Dongyang Liu, Zanyi Wang +12Discrete Diffusion ModelOntology-Amplified Distillation

  60. Sat2RealCity: Geometry-Aware and Appearance-Controllable 3D Urban Generation from Satellite Imagery

    Nov 14, 2025Xinliang Wang, Yijie Kang, Zhenyu Wu +13D EnvironmentsSatellite Imagery