Diffusion Dynamics

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16 papers in the last four weeks, up 100% on the four weeks before. 0.2% of all new papers.

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  1. PhysDEM: Physics-Defined Energy-Matching Diffusion for Spatiotemporal Field Generation under Scarce Measurements

    Oct 1, 2026Zhenyu Liang, Yining Huang, Yubo Zhao +1Spatiotemporal FieldsDiffusion Dynamics

    HKUST · UT Austin

  2. Scaling and Distilling Text Embeddings for Better Diffusibility

    Oct 1, 2026Zekai Zhang, Yunjie Tian, Yanjin He +4Diffusion Language ModelsText Embeddings

    University of Michigan

  3. Generative Modeling of Stochastic Dynamics for Long-Time Evolution

    Sep 30, 2026Yang-yang Tan, Jinyang Li, Lingxiao WangStochastic DynamicsStatistical Physics

    Institute for Physics of Intelligence, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan · RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS), Wako, Saitama 351-0198, Japan · KEK Theory Center, Institute of Particle and Nuclear Studies +1

  4. Diffusable Latents from Structure-Agnostic Distillation

    Sep 30, 2026Adrien Ramanana Rahary, Nicolas Dufour, Patrick Pérez +1Dataset DistillationVideo Latents

    LIGM, ENPC, IP Paris, CNRS, UGE · Kyutai

  5. Diffusion-2BC: Hybrid Diffusion and Regression Training for Offline Behavior Cloning in Autonomous Driving

    Sep 29, 2026Bruno Maciel Machado, Eric Aislan AntoneloBehavior CloningDiffusion Policies

    Department of Automation and Systems Engineering, Graduate Program in Automation and Systems Engineering, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil

  6. RIDE: Reference-Anchored Inference-Time Diffusion Editing for Scaffold Hopping

    Sep 28, 2026Ruoxi Gao, Frazier N. Baker, Trieu Nguyen +1Drug DiscoveryDiffusion Dynamics

    Department of Computer Science and Engineering, The Ohio State University · Department of Biomedical Informatics, The Ohio State University · Translational Data Analytics Institute, The Ohio State University +1

  7. Learning to Re-Draft: A Variational Stackelberg Game for Discrete Diffusion

    Sep 28, 2026Dmitrii Moor, Federico Tomasi, Paul N. Bennett +2Masked Diffusion Language ModelsDiffusion Dynamics

    Spotify, London, UK · Spotify, Boston, USA · Spotify, New York, USA

  8. FloodDiffusion 2: Efficient and Path Controllable Streaming Motion Generation

    Sep 27, 2026Yiyi Cai, Yuhan Wu, Kunhang Li +6Human Motion GenerationMotion Generation

    Alaya Lab · The University of Tokyo · Japan Advanced Institute of Science and Technology +1

  9. On the Diffusibility of High-Dimensional Latents

    Sep 23, 2026Chao Feng, Zhiyang Xu, Bowei Chen +7Diffusion ModelsAutoencoder Architectures

    Cornell University · Virginia Tech · University of Washington +2

  10. Private Decentralized Optimization with Noise Reduction and Bias Correction

    Sep 23, 2026Yizhao Fan, Wenjian Luo, Jiaojiao ZhangDecentralized OptimizationDecentralized Learning

    Harbin Institute of Technology, Shenzhen · Great Bay University

  11. Learning Spectral Allocation: A Fractional Diffusion Framework for Adaptive Volumetric Segmentation

    Sep 23, 2026Yi-Hui Shen, Tie-Qiang Li3D Medical Image SegmentationU-Net

    School of Arts and Sciences, Fujian Medical University, Fuzhou, China · School of Medical Imaging, Fujian Medical University, Fuzhou, China · Department of Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden +2

  12. From Utterances to Networks: Modelling Slang Adoption and Diffusion Across Subreddits

    Sep 22, 2026Xiaoning Wang, Ted Underwood, Zhewei SunAdoptionUtterances

    School of Information Sciences, University of Illinois Urbana-Champaign · Toyota Technological Institute at Chicago

  13. Rethinking Diffusion Segmentation: When Does It Rely on Its Noisy State, and Does Diffusion Matter?

    Sep 21, 2026Hengzhuo Yang, Yuming Zeng, Yuling YangText-Conditioned Diffusion ModelDiffusion Models

    Department of Mathematics, Northeastern University, Boston, MA 02115 USA · Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115 USA

  14. FlockDiffusion: Assignment-Conditioned Diffusion for Multi-Drone Task Allocation and Completion

    Sep 20, 2026Iana Zhura, Satenik Akopyan, Roohan Ahmed Khan +3Multi-Drone CoordinationDiffusion Planning

    Skolkovo Institute of Science and Technology, Moscow, Russia

  15. Learning-Based Reconstruction of Optical Properties in Bilayered Media from Single-distance Time-Resolved Reflectance Measurements

    Sep 17, 2026Caterina Amendola, Giulia Maffeis, Lorenzo Buffoni +8ReflectanceOptical

    Department of Physics, Politecnico di Milano, Milan, 20133, Italy

  16. Zero-shot rib design: merging training-free generative prior with topology optimization

    Sep 11, 2026Yongmin Kwon, Namwoo KangTopology OptimizationPhysics-Guided Diffusion

    Cho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology, 193 Munji-ro, Yuseong-gu, Daejeon, 34051, Republic of Korea · AI Research Team, Narnia Labs, 193 Munji-ro, Yuseong-gu, Daejeon, 34051, Republic of Korea

  17. Conditioning Degenerate Diffusion Models

    Sep 3, 2026Uğur Aydın, Tamer BaşarText-Conditioned Diffusion ModelDiffusion Models

    Department of Electrical and Computer Engineering and Coordinated Science Laboratory University of Illinois Urbana Champaign Illinois, IL 61801, USA

  18. Generative Diffusion Surrogates with Analytical Variance Schedule

    Sep 1, 2026Patrick Reichherzer, Gianluca Gregori, David N. Hosking +1Diffusion DynamicsDiffusion Models

    Department of Physics, University of Oxford, Oxford OX1 3PU, UK. · Department of Astrophysical Sciences, Princeton University, Princeton NJ 08544, USA. · Max Planck Institute for Security and Privacy, Bochum 44799, Germany. +2

  19. Diffusion Based Unpaired Data Learning for Inverse Problems

    Sep 1, 2026Chenglong Bao, Yiming Dang, Chenguang Duan +2Bayesian Inverse ProblemsInverse Problem

    Yau Mathematical Sciences Center, Tsinghua University, Beijing, China · Department of Mathematical Sciences, Tsinghua University, Beijing, China · Institut für Geometrie und Praktische Mathematik, RWTH Aachen University, Aachen, Germany +2

  20. From Truncation to Commitment: Persistent Context in Uniform Discrete Diffusion

    Sep 1, 2026Satoshi HayakawaTruncationDiffusion Dynamics

    The University of Tokyo

  21. AnaDiffusion: Anatomically CompositionalLatent Diffusion for Controllable 3D Brain MRI Generation

    Aug 24, 2026Huiwen Han, Lulin Liu, Bangya Liu +8Magnetic Resonance ImagingIdentity-Conditioned Latent Diffusion Models

    Stanford University · Texas A&M University · University of Minnesota +4

  22. DARTree: Speculative Diffusion Decoding with Autoregressive Draft Trees

    Aug 13, 2026Tianyi Li, Yaxin Luo, Xinyi Shang +1Speculative DecodingDrafts

    VILA Lab, MBZUAI

  23. Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems

    Aug 11, 2026Haiteng Wang, Yunfei Zhu, Tao Wang +4Time-Series GenerationSynthetic Data

    School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China. · School of Software, Beihang University, Beijing, 100191, China. · Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, 100191, Hong Kong. +1

  24. Diffuse the object, keep its label: curating detector training data from a few unlabeled photographs via VLM-built 3D vegetation scenes

    Aug 10, 2026Mario Malizia, Marnix Enting, Rob Haelterman +1Parameter-Efficient AdaptationScene Understanding

    Royal Military Academy, Brussels, Belgium · KU Leuven, Leuven, Belgium · Flanders Make, Heverlee, Belgium

  25. DynaCrys: Crystal Generation with Dynamic Space-Group Diffusion

    Aug 7, 2026Zhuotao Jin, Xiaoyun Wang, Nicholas Brawand +5Crystal StructureCrystal

    NVIDIA · Center for Computational Science and Engineering, Massachusetts Institute of Technology · Department of Materials Science and Engineering, Massachusetts Institute of Technology +4

  26. Ordered Diffusion for 3D Human Registration

    Aug 6, 2026Mattia Masiero, Ilya A. Petrov, Daniel Cremers +2Image RegistrationHumanml3D

    University of Tübingen, Germany · Tübingen AI Center, Germany · Technical University of Munich, Germany +2

  27. Should the Boundary Term Be Learned in Reflected Diffusion? Conormal Trace and Reflection Masking

    Aug 4, 2026Ziyue Wang, Takafumi KanamoriScore-Based Diffusion ModelDiffusion Dynamics

    Institute of Science Tokyo

  28. Reflected diffusion, no-flux continuity equations and confined Lagrangian flows in bounded domains

    Jul 30, 2026Rama ContFokker--Planck EquationInvertible Flows

  29. Bridging battery design and health assessment through virtual sensing and physics-informed learning

    Jul 18, 2026Wendi Guo, Søren Byg Vilsen, Daniel Ioan Stroe +4Lithium-Ion BatteriesUseful Life Prediction

    Department of Chemistry, Uppsala University, Sweden · Department of Materials and Production, Aalborg University, Denmark · Department of Energy, Aalborg University, Denmark +2

  30. Diffusion MRI preprocessing affects ADC estimation and automatic PI-RADS v2.1 classification in bi-parametric prostate MRI

    Jul 13, 2026Christos Kanakis, Mathias Perslev, Tim Schakel +4Prostate Magnetic Resonance ImagingRadiomics

    Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands · Cerebriu, Copenhagen, Denmark · Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands +2

  31. Sticky Jump Diffusions: A Unifying View of Masked, Continuous, and Hybrid Diffusion

    Jul 12, 2026Pascal Jutras-Dubé, Patrick Pynadath, Jeremy Lu +2Diffusion DynamicsStochastic Differential Equations

    Department of Computer Science Purdue University · Department of Mathematics Purdue University

  32. Diversify Diffusion with Temperature Sampling and Variance-Corrective Time Shifting

    Jul 12, 2026Peizhuo Li, Emre Aksan, Alexandru-Eugen Ichim +2Diffusion SamplingDiffusion Models

    ETH Zurich · Google

  33. DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders

    Jul 12, 2026Syed Irfan Ali Meerza, Oktay Ozturk, Amir Sadovnik +1Unlearnable ExamplesImagenet

    University of Tennessee, Knoxville, TN, USA · Virginia Commonwealth University, Richmond, VA, USA · Oak Ridge National University, Knoxville, TN, USA +1

  34. Adaptive MPPI with Online Disturbance Covariance Estimation: Provable Stability Tightening via Spatial Smoothing

    Jul 9, 2026Hyung-Jin Yoon, Hunmin KimModel Predictive Path IntegralState Estimation

    Department of Mechanical and Nuclear Engineering, Tennessee Technological University, Cookeville, TN, USA

  35. Pano2World: End-to-End 3D Generation via Unified Multi-View Sequences

    Jul 1, 2026Zhenjia Li, Jinrang Jia, Yifeng ShiOmnidirectional Images3D Gaussian

    Ke Holdings Inc. Beijing, China

  36. Non-parametric recovery of causal diffusion mechanisms from steady-state observations

    Jun 29, 2026Richard Schwank, Mathias DrtonCausal Discovery MethodsCausal Graph

    School of Computation, Information and Technology, Technical University of Munich · 2Munich Center for Machine Learning

  37. Unsupervised Thermodynamics of Molecular Diffusion Models: Action-Operator Semantics and Auditable Free-Energy Readout

    Jun 28, 2026Wenjie XiDiffusion DynamicsThermodynamics

    Department of Physics and HK Institute of Quantum Science & Technology, The University of Hong Kong, Pokfulam Road, Hong Kong, China

  38. TEMPO-Diffusion: Temporally Exposed Malicious Poisoning of Diffusion Models

    Jun 24, 2026William Aiken, Paula Branco, Guy-Vincent Jourdan +1Diffusion ModelsDiffusion Dynamics

    School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada

  39. Variance-Tilted Diffusion Models for Diverse Sampling

    Jun 20, 2026Iskander Azangulov, Leo Zhang, Kianoosh AshouritaklimiDiffusion SamplingDiffusion Dynamics

    Department of Statistics, University of Oxford, Oxford, UK.

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

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

    State Key Laboratory of Blockchain and Data Security, Zhejiang University · HangZhou High-Tech Zong (Binjiang) Institute of Blockchain and Data Security · College of Computer Science, Zhejiang University +1

  41. CaricHarmony: Contrastive Diffusion Paths for Identity-Preserving Caricature Synthesis

    Jun 11, 2026Dongyu Wang, Dar-Yen Chen, Yi-Zhe SongSketchesDiffusion Models

    SketchX, CVSSP, University of Surrey

  42. Uncertainty Estimation for Molecular Diffusion Models

    Jun 11, 2026Paul Seij, Christian A. Naesseth, Stephan Mandt +1Diffusion ModelsDiffusion Dynamics

    UvA-Bosch Delta Lab, University of Amsterdam · University of California, Irvine

  43. Accelerating Speculative Diffusions via Block Verification

    Jun 11, 2026Alexander Soen, Hisham Husain, Valentin De Bortoli +1Block-Diffusion DrafterDiffusion Language Models

    KTH · Google Research† · Google DeepMind‡

  44. Diffusing in the Right Space: A Systematic Study of Latent Diffusability

    Jun 2, 2026Tianxiong Zhong, Xingye Tian, Xuebo Wang +2Visual TokenizersDiffusion Dynamics

    Kling Team, Kuaishou Technology

  45. BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers

    Jun 1, 2026Justin Deschenaux, Caglar GulcehreDiffusion ModelsDiffusion Language Models

    EPFL Lausanne, Switzerland · EPFL, Lausanne, Switzerland · Microsoft AI

  46. Equilibrated Diffusion: Frequency-aware Textual Embedding for Equilibrated Image Customization

    Jun 1, 2026Liyuan Ma, Xueji Fang, Guo-Jun QiText-To-Image Diffusion ModelsImage Editing

    Westlake University · Hangzhou, China · Zhejiang University

  47. Error Bounds for a Diffusion Model-Based Drift Estimator

    Jun 1, 2026Ioar Casado-Telletxea, Omar RivasplataStochastic Differential EquationsScore-Based Diffusion Model

    Basque Center for Applied Mathematics (BCAM) · Bilbao, Spain · Centre for AI Fundamentals & Department of Computer Science +1

  48. Self-Regulating Annealing in Heavy-Tailed Diffusion Models

    Jun 1, 2026Keito Wakatsuki, Hideaki ShimazakiDiffusion SamplingAccelerated Sampling

    Graduate School of Informatics Kyoto University, Kyoto, Japan

  49. Uncertainty-Calibrated Diffusion for Reliable 3D Molecular Graph Generation

    Jun 1, 2026Fang Wan, Jingxiang Qu, Yi LiuMolecular GenerationDiffusion Dynamics

    State University of New York at Stony Brook

  50. DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysis

    May 31, 2026Shu Long, Yanglei Gan, Xuchuan ZhouSentimentAutoregressive Token Prediction

    University of Electronic Science and Technology of China · Southwest Petroleum University · Southwest Minzu University

  51. A Multiscale Kinetic Framework for Image Segmentation: From Particle Systems to Continuum Models

    May 27, 2026Horacio Tettamanti, Giulia Guicciardi, Mattia ZanellaMultiscale DynamicsPixels

    Department of Mathematics “F. Casorati” University of Pavia, Italy

  52. Simulation-Informed Diffusion for Decentralized Multi-robot Motion Planning

    May 26, 2026Jinhao Liang, Sven Koenig, Ferdinando FiorettoMulti-Robot Motion PlanningCollision-Free Trajectories

    University of Virginia · University of California, Irvine

  53. From Scores to Gibbs Correctors: Accelerating Uniform-Rate Discrete Diffusion Models

    May 26, 2026Yuchen Liang, Ness Shroff, Yingbin LiangDiffusion SamplingDiffusion Dynamics

    The Ohio State University

  54. SAFE-Diff: Scale-Aware Attention and Feature-Dispersive Diffusion with Uncertainty Estimation for Contrast-Enhanced Breast MRI Synthesis

    May 25, 2026Tianyu Zhang, Xinglong Liang, Jarek van Dijk +13Medical Image GenerationMagnetic Resonance Imaging

    Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands · Department of Radiology, Netherlands Cancer Institute, Plesmanlaan 121, 1066May CX, Amsterdam, The Netherlands · Maastro Clinic, Dr. Tanslaan 12, 6229 ET, Maastricht, The Netherlands +2

  55. Sum of Costs Diffusion with Dynamic Guidance for Motion Planning

    May 23, 2026Aysu Aylin Kaplan, Özgür ErkentCollision-Free TrajectoriesMotion Planning

    Computer Engineering Department, Hacettepe University, Ankara, Turkey

  56. A Tutorial on Diffusion Theory: From Differential Equations to Diffusion Models

    May 21, 2026Jiayi Fu, Yuxia WangScore-Based Diffusion ModelDiffusion Dynamics

    INSAIT, Sofia University “St. Kliment Ohridski”, Bulgaria

  57. Tweedie's Formulae and Diffusion Generative Models Beyond Gaussian

    May 19, 2026Wenpin Tang, Nizar Touzi, Zikun Zhang +1Stochastic Differential EquationsDiffusion Dynamics

  58. Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network

    May 18, 2026Grigory Bartosh, David Ruhe, Emiel Hoogeboom +3Diffusion ModelsDiffusion Dynamics

    *Work done while interning at Google DeepMind Amsterdam, 1University of Amsterdam, 2Google DeepMind Amsterdam · 2Google DeepMind Amsterdam

  59. Noise scheduling and linear dynamics in diffusion models on Lie groups

    May 17, 2026Javad KomijaniEffective Field TheoryDiffusion Dynamics

    Institute for Theoretical Physics, ETH Zurich, 8093 Zurich, Switzerland

  60. DiffPhD: A Unified Differentiable Solver for Projective Heterogeneous Materials in Elastodynamics with Contact-Rich GPU-Acceleration

    May 14, 2026Shih-Yu Lai, Sung-Han Tien, Jui-I Huang +9Differentiable PhysicsFinite Element Method

    National Taiwan University · MoonShine Animation Studio · National University of Singapore +3