Denoising

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  1. HemExp: Clinically-Guided Latent Diffusion for Modeling Hematoma Expansion

    Jun 13, 2026Orhun Utku Aydin, Satoru Tanioka, Tzu I Chuang +7StrokeIdentity-Conditioned Latent Diffusion Models

  2. Temporal Difference Learning for Diffusion Models

    Jun 13, 2026Qizhen Ying, Yangchen Pan, Victor Adrian Prisacariu +1Denoising TrajectoryGenerative Models

  3. RepFusion: Leveraging Multimodal Priors for Denoising in Representation Space

    Jun 12, 2026Xichen Pan, Aashu Singh, Satya Narayan Shukla +3Image DenoisingText-To-Image

  4. Regional Climate Model Emulation with Diffusion Approaches: What is the Added Value of Generative Machine Learning?

    Jun 12, 2026Mikel N. Legasa, Antoine Doury, Achille Gellens +4Global Climate ModelsDynamical Downscaling

  5. Decoupled Latent Optimization of Diffusion Models for Full Waveform Inversion

    Jun 12, 2026Chen Min, Zheng MaIll-Posed Inverse ProblemDiffusion Priors

  6. Conditioning Matters: Stabilizing Inversion and Attention in Diffusion Image Editing

    Jun 12, 2026Zheyuan Zhan, Hongchen Li, Can Wang +6Diffusion EditingImage Editing

  7. Smoothing Dark Areas in Molecular Latent Diffusion

    Jun 11, 2026Xi Wang, Jiahan Li, Yuxuan Xia +3Molecular GenerationVariational Autoencoder

  8. Uncertainty Estimation for Molecular Diffusion Models

    Jun 11, 2026Paul Seij, Christian A. Naesseth, Stephan Mandt +1Diffusion DynamicsMolecular Generation

  9. Enhanced Low-Density Region Exploration in Classifier-Guided Diffusion Models Through Modified Reverse Diffusion Sampling

    Jun 11, 2026Jagriti Singh, Shekhar Verma, Muneendra OjhaDiffusion SamplingImagenet

  10. Efficient Reinforcement for Visual-Textual Thinking with Discrete Diffusion Model

    Jun 11, 2026Yoonjeon Kim, Yuhta Takida, Chieh-Hsin Lai +2Discrete Diffusion Model

  11. A Stabilized Path-Space Approach to Diffusion-Based Posterior Sampling

    Jun 10, 2026Evan Scope Crafts, Umberto Villa, Saviz Mowlavi +3Posterior SamplingDiffusion Sampling

  12. Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models

    Jun 10, 2026Jia Deng, Junyi Li, Wayne Xin Zhao +3Diffusion Language ModelsImage Denoising

  13. VOID: Defeating Unauthorized Mimicry in Latent Diffusion Models

    Jun 10, 2026Chunlin Qiu, Ang Li, Tianxiao Huang +7Latent Diffusion ModelFace Forgery Detection

  14. Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks

    Jun 10, 2026Omid Ahmadieh, Nima KarimianAdversarial ExamplesIdentity-Conditioned Latent Diffusion Models

  15. Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques

    Jun 9, 2026Guido Di Federico, Wenchao Teng, Louis J. DurlofskyData AssimilationSub-Surface Mineral Prospectivity Modelling

  16. Diffusion Forcing Planner: History-Annealed Planning with Time-Dependent Guidance for Autonomous Driving

    Jun 9, 2026Zehan Zhang, Neng Zhang, Yaoyi Li +2Diffusion PlanningAutonomous Driving Simulation

  17. Least-Action-Guided Diffusion for Physical Extrapolation

    Jun 9, 2026Zhongxin Yang, Yuanwei Bin, Xiang I. A. Yang +1ExtrapolationReward-Guided Diffusion

  18. Compositional Generative Modeling from Decentralized Data

    Jun 8, 2026Mashrur M. Morshed, Vishnu Naresh BoddetiGenerative ModelsDecentralization

  19. Divide-and-Conquer Modeling for the CTF-4-Science Lorenz Benchmark

    Jun 8, 2026Shundong LiChaosDenoising Trajectory

  20. Echo-DM: Ultrasound Marker Removal via Conditional Latent Diffusion and Region-Aware Fusion

    Jun 8, 2026Zhiwei Wang, Tao Huang, Wentao Jiang +7UltrasoundIdentity-Conditioned Latent Diffusion Models

  21. Deep Slice Interpolation for Reducing Through-Plane Anisotropy and Noise in Head CT

    Jun 8, 2026Luis Cortés Ferre, Miguel A. Gutiérrez-Naranjo, Marcin BalcerzykTomographyInterpolation

  22. EditSSC: Toward Editable Semantic Occupancy Scenes with Unconditional Diffusion Models

    Jun 8, 2026Fatima Balde, Raoul de Charette, Alexandre Boulch3D ScenesDiffusion Editing

  23. BSTabDiff: Block-Subunit Diffusion Priors for High-Dimensional Tabular Data Generation

    Jun 8, 2026Al Zadid Sultan Bin Habib, Md Younus Ahamed, Prashnna Gyawali +2Synthetic Tabular DataDiffusion Priors

  24. Divide-and-Denoise: A Game-Theoretic Method for Fairly Composing Diffusion Models

    Jun 8, 2026Abhi Gupta, Polina Barabanshchikova, Vikas Garg +2Discrete Diffusion ModelImage Denoising

  25. C3^3ache: Accelerating World Action Models with Cross Inference Chunk Cache

    Jun 8, 2026Weisen Zhao, Lam Nguyen, Zhicong Lu +1Efficient World-Action ModelWorld Models

  26. Rethinking 3D Shape Generation: Diffusion over Superquadrics

    Jun 8, 2026Zhiyang Liu, Wanze Li, Yuwei Wu +4SuperquadricsDiscrete Diffusion Model

  27. Continuous Language Diffusion as a Decoder-Interface Problem

    Jun 7, 2026Zhicheng Du, Lan MaDiffusion Language ModelsLarge Language Model Decoder

  28. Less Is More: Training-Free Acceleration Framework of 3D Diffusion Models for Low-Count PET Denoising via Global-Local Trajectory Reduction

    Jun 7, 2026Yuhan Liu, Scott M. Leonard, Marlee Crews +53D Latent Diffusion ModelDenoising Diffusion Probabilistic Model

  29. Latent Diffusion Policy: Shaping Latent Spaces for Diffusion-Based Robotic Manipulation

    Jun 7, 2026Zhexuan Zhou, Yichen Lai, Jinhao Zhang +3Visuomotor PolicyLatent Actions

  30. Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models

    Jun 7, 2026Yilin Zheng, Haowei Wang, Szu Hui Ng +1Bayesian OptimizationBayesian

  31. Few-step Cofolding with All-Atom Flow Maps

    Jun 7, 2026Gianluca Scarpellini, Ron Shprints, Peter Holderrieth +7Conformational EnsemblesStructure-Based Drug Design

  32. Where the Score Lives: A Wavelet View of Diffusion

    Jun 6, 2026Emma Finn, Binxu Wang, T. Anderson Keller +1Score-Based Diffusion ModelDiscrete Diffusion Model

  33. TextEconomizer: Enhancing Lossy Text Compression with Denoising Transformers and Entropy Coding

    Jun 6, 2026Mahbub E Sobhani, Anika Tasnim Rodela, Chowdhury Mofizur Rahman +2Entropy CodingTransformer Architectures

  34. Bypassing Copyright Protection in Diffusion-based Customization via Two-Stage Latent Feature Optimization

    Jun 6, 2026Ziang Xu, Wenbo Yu, Hongyao Yu +6Latent Diffusion ModelRights

  35. Network Recovery from Cascade Data: A Debiased Jacobian-Based Machine Learning Approach

    Jun 5, 2026Lei HuangComplex NetworksEpidemic Forecasting

  36. DirectAudioEdit: Inversion-Free Text-Guided Audio Editing via Diffusion Prediction Contrast

    Jun 5, 2026Zhengkun Ge, Xiaoqian Liu, Haoran Zhang +5Music EditingDiffusion Editing

  37. TargetSEC: Plug-and-Play In-the-Wild Speech Emotion Conversion via Arousal-Conditioned Latent Style Diffusion

    Jun 5, 2026Constantin Alexander AugaIdentity-Conditioned Latent Diffusion ModelsEmotion

  38. Consistent-Inversion: Reverse Consistency Guidance for Structure-Preserving Visual Editing

    Jun 5, 2026Xiaocheng Lu, Jingcai Guo, Song GuoDiffusion EditingVideo Editing

  39. AsyncPatch Diffusion: spatially-flexible image generation

    Jun 5, 2026Samuele Papa, Valentin De Bortoli, Guillaume Couairon +3Discrete Diffusion ModelLarge-Scale Image Generation

  40. ForensicConcept: Transferable Forensic Concepts for AIGI Detection

    Jun 5, 2026Menyanshu Zhou, Ziyin Zhou, Ke Sun +4Ai-Generated Image DetectionDigital Forensics

  41. LUCID: Learning Unified Control for Image Deflaring and Exposure Mastery in Nighttime Photography

    Jun 5, 2026Tingyu Yang, Yuan Cheng, Xiaoyun YuanImage RestorationGenerative Priors

  42. ARAPDiffusion: ARAP Regularization for Diffusion-Based Deformable Shape Space Learning

    Jun 5, 2026Haibo Liu, Jinghan Ke, Haitao Yang +3Statistical Shape ModelLatent Diffusion Model

  43. FreeAnimate: Training-Free Human Image Animation with Preview-Guided Denoising

    Jun 5, 2026Yuan Zeng, Yujia Shi, Zongqing Lu +1Pre-Trained Video Diffusion ModelsImage Denoising

  44. Complexity-Balanced Diffusion Splitting

    Jun 4, 2026Noam Issachar, Dani Lischinski, Raanan FattalDiscrete Diffusion ModelGenerative Models

  45. Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them

    Jun 4, 2026Woojung Han, Seil Kang, Youngjun Jun +3Pre-Trained Video Diffusion ModelsDenoising Trajectory

  46. RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow Scheduling

    Jun 4, 2026Chensheng Dai, Shengjun Zhang, Yifan Li +3Pre-Trained Video Diffusion ModelsLarge-Scale Video Generation Models

  47. Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction

    Jun 4, 2026Hongkun Dou, Zike Chen, Fengji Li +2Discrete Diffusion ModelLogit Lens

  48. Adapting Diffusion Language Models for Lossless Pixel-Level Image Transmission

    Jun 4, 2026Tianqi Ren, Rongpeng Li, Xianfu Chen +2Source-Channel CodingEntropy Coding

  49. Diffusion Models Observe Only Gradients: A Geometric Perspective on Score Matching Errors

    Jun 4, 2026Naïl B. Khelifa, Richard E. Turner, Ramji VenkataramananScore-Based Diffusion ModelKullback-Leibler Divergence

  50. RQUL-UIE: Revitalizing Quality-Unstable Labels for Underwater Image Enhancement via In-Dataset Self-Supervision

    Jun 4, 2026Haochen Hu, Yanrui Bin, Chih-yung Wen +1Underwater Image EnhancementImage Enhancement

  51. ReCache: Learning Budget-Aware Caching Schedules for Diffusion Models via REINFORCE

    Jun 4, 2026Mishan Aliev, Eva Neudachina, Ilya Bykov +4CacheImage Denoising

  52. Diffusion Models for Adaptive Sequential Data Generation

    Jun 4, 2026Haoyang Cao, Minshuo Chen, Yinbin Han +1Synthetic Time SeriesDiscrete Diffusion Model

  53. DiG-Plan: Mitigating Early Commitment for Tool-Graph Planning via Diffusion Guidance

    Jun 4, 2026Yansi Li, Zhuosheng ZhangClassical PlanningPlanning Methods

  54. Diff2SP: Diffusion Models for Correlated Scenario Generation in Stochastic Programming

    Jun 4, 2026Haixiang Sun, Andrew LiuScenario GenerationStochastic Optimization

  55. The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show

    Jun 3, 2026Parsa Esmati, Somjit Nath, Katja Hofmann +3Pre-Trained Video Diffusion ModelsMultimodal Diffusion Transformers

  56. Learning What Not to Impute: An Uncertainty-Aware Diffusion Framework for Meaningful Missingness

    Jun 3, 2026Lixing Zhang, Yidong Ouyang, Weifu Li +3Multivariate Time Series ImputationImputation

  57. CDPM-Align: Multi-Scale Guidance-Aligned Diffusion Pretraining for Robust Few-Shot Anatomical Landmark Detection

    Jun 3, 2026Roberto Di Via, Irina Voiculescu, Francesca Odone +1One-Shot Medical Landmark DetectionMedical Imaging Datasets

  58. Crafting Your Evolving Dreams: Concept-Incremental Versatile Customization

    Jun 3, 2026Jiahua Dong, Wenqi Liang, Hongliu Li +7Discrete Diffusion ModelCatastrophic Forgetting

  59. Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment

    Jun 3, 2026Cong Wang, Hanxin Zhu, Jiayi Luo +6Large-Scale Video Generation ModelsVideo Latents

  60. HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation

    Jun 3, 2026Hongfan Gao, Wangmeng Shen, Bin Yang +1Multivariate Time Series ImputationImage Denoising