Diffusion Models

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99 papers in the last four weeks, up 168% on the four weeks before. 1.0% of all new papers.

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  1. Think Before You Paint: Recursive Latent Reasoning for Diffusion Models

    Oct 7, 2026Paweł Skierś, Małgorzata Grzanka, Wojciech Masarczyk +2Diffusion Models

    Warsaw University of Technology · IDEAS Research Institute · University of Amsterdam

  2. Consistent Distribution Matching for Data-Free Diffusion Distillation

    Oct 6, 2026Yuxiang Fu, Qi Yan, Zike Wu +4Diffusion Models

    University of British Columbia · Vector Institute for AI · Canada CIFAR AI Chair

  3. Personalize at Test Time: Learning User Preferences for Image Generation

    Oct 6, 2026Jiamu Bai, Jiaming Hu, Yanhong Wu +1Multi-Reference Image GenerationDiffusion Models

  4. Feature Information Dynamics in Diffusion

    Oct 6, 2026Jia-Shu Pan, Tao Zhang, Yufei Huang +2Diffusion Models

    Department of Artificial Intelligence, School of Engineering, Westlake University · Zhejiang University · Research School of Astronomy and Astrophysics, Australian National University

  5. Enhancing Diffusion Language Models with Autoregressive Post-Training Weights

    Oct 6, 2026Yiming Qin, Ke Wang, Amel Abdelraheem +2Diffusion Language ModelsDiffusion Models

    EPFL, Lausanne, Switzerland

  6. MEND: RL For Flow Models via Proximal Velocity Matching

    Oct 5, 2026Shreshth Saini, Neil Birkbeck, Yilin Wang +2Diffusion Models

    The University of Texas at Austin · Google · University of Colorado Boulder

  7. When Does a Diffusion Model Decide What to Draw ?

    Oct 5, 2026Snigdha Chandan KhilarDiffusion Models

    Independent Researcher

  8. No Concept Escapes the Audit: Auditing-Aware Unlearning for Verifiable Concept Erasure in Diffusion Models

    Oct 4, 2026Kaiyuan Deng, Yuchen Li, Gen Li +5Text-To-Image Diffusion ModelsDiffusion Models

    The University of Arizona · Peking University · Clemson University +2

  9. Hierarchical Continuous Diffusion Language Models

    Oct 1, 2026Hui Ren, Zihan Li, Chang Liu +2Diffusion Language ModelsDiffusion Models

    University of Illinois Urbana-Champaign · Amazon.com, Inc.

  10. Wasserstein Gradient Flows and Forward-Only Diffusion Are Not Enough for Multimodal Sampling

    Oct 1, 2026Daniel McBride, Pratik Khandagale, Cristina Garcia-Cardona +1Wasserstein Gradient FlowsLatent Transport

    Los Alamos National Laboratory, Los Alamos, NM 87545, USA

  11. Continual Concept Erasure in Diffusion Models by Suppressing Cross-Edit Interference

    Oct 1, 2026Yongliang Wu, Haori Lu, Jinqi Luo +3Concept ErasureText-To-Image Diffusion Models

    University of Illinois Urbana-Champaign · University of Pennsylvania · National University of Singapore

  12. RASteer: Retain-Aware Activation Steering for Concept Erasure in Diffusion Models

    Oct 1, 2026Yongliang Wu, Haori Lu, Yulun Wu +3Concept ErasureText-To-Image Diffusion Models

    University of Illinois Urbana-Champaign · University of Pennsylvania · National University of Singapore

  13. Error-Corrected Inference-Time Scaling for Imperfect Diffusion Models

    Oct 1, 2026Zuokai Wen, Louis Grenioux, Weinan E +1Diffusion SamplingMonte Carlo

    School of Artificial Intelligence, Shanghai Jiao Tong University · Center for Computational Mathematics, Flatiron Institute · School of Mathematical Sciences, Peking University

  14. Debias Anything: Fairness with Diversity without Supervision in Diffusion Models

    Oct 1, 2026Théau d'Audiffret, Mariia Vladimirova, Jean-Yves FranceschiDiffusion ModelsAlgorithmic Fairness

    Criteo AI Lab, Paris, France · ESSEC Business School, France · CentraleSupélec, Université Paris-Saclay, France +1

  15. Rethinking Memorization Mitigation in Diffusion Models: Reinforcing Text Conditioning

    Oct 1, 2026Hyungjun Joo, Sehwan Kim, Hyeonggeun Han +2Text-To-Image Diffusion ModelsDiffusion Models

    Seoul National University · Konkuk University

  16. Learned End-to-End Guidance Schedules for Diffusion Models

    Oct 1, 2026Aneesh Barthakur, Mathias Niepert, Luiz F. O. ChamonDiffusion ModelsGuidance

    University of Stuttgart · École polytechnique, Institut Polytechnique de Paris

  17. SALD: Self-Referenced Advantage Learning for Diffusion Models

    Oct 1, 2026Aryan Das, Surjo Dey, Koushik Biswas +4Diffusion ModelsLarge Language Model Adaptation

    Indian Institute of Technology Kanpur, India · Rajiv Gandhi Institute of Petroleum Technology, India · IIIT Delhi, India +2

  18. Feature Selective Model Collapse in Diffusion Models: Total Replacement versus Fixed-Budget Training

    Oct 1, 2026Hanna Malet, Gabriel TuriniciDiffusion ModelsCollapse

    CEREMADE CNRS Université Paris Dauphine - PSL Paris 75116 FRANCE · Cornell University Ithaca, NY, USA

  19. Know When to Hold 'em: Correct-Token Retention in Uniform-State Diffusion Language Models

    Oct 1, 2026Mojtaba Nafez, James HendersonDiffusion Language ModelsDiffusion Models

    EPFL & Idiap Lausanne, Switzerland · Idiap Research Institute Martigny, Switzerland

  20. Clock Diffusion: Efficient Semi-Autoregressive Continuous Diffusion Language Models

    Oct 1, 2026Yair Schiff, Omer Belhasin, Roy Uziel +7Diffusion Language ModelsDiffusion Models

    NVIDIA · Cornell University

  21. SemanTok: Predictable Semantic Tokens for Efficient Autoregressive Video Generation

    Sep 30, 2026Mikhail Dereviannykh, Vikram Voleti, Simon Donne +3Visual TokenizersAutoregressive Video Generation

    Stability AI · Karlsruhe Institut für Technologie

  22. Just Align x\bm{x}: Aligning Predictions, Not Representations

    Sep 30, 2026Yuyao Zhang, Yuwei Hu, Ziyang Mai +1Diffusion AlignmentDiffusion Models

    Dartmouth College

  23. 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

  24. Distribution Matching Distillation for Continuous Diffusion Language Models

    Sep 30, 2026Paul Le Van Kiem, Dario Shariatian, Umut Simsekli +1Diffusion Language ModelsDiffusion Models

    Inria, PSL Research University · Cohere · CMAP, Ecole Polytechnique

  25. PassGPT+: Leveraging Linguistic Priors for Password Modeling

    Sep 30, 2026Rajneesh Anand, Neeraj Lakshmanan, Masoud YariGenerative ModelsLinguistics

    Department of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, PA, 18015, USA · Department of Computer Science & Design, Singapore University of Technology & Design, Singapore · Department of Computer Science & Engineering, Lehigh University, Bethlehem, PA, 18015, USA

  26. GFD-OPD: Guidance-Folded On-Policy Distillation of Diffusion Models Across Scales

    Sep 30, 2026Zhenxing Zhang, Jiayan Teng, Wenxu Wu +6Uni-OpdDiffusion Models

    Hefei University of Technology · Zhipu AI · Tsinghua University

  27. From Modes to Memories: Characterizing the Scale-Space Dynamics of Diffusion Models

    Sep 30, 2026Cristina López Amado, Marco Fumero, Francesco LocatelloDiffusion ModelsMemorization

    Institute of Science and Technology Austria (ISTA)

  28. MIND: Marginal-Invariant Neural Dependency Diffusion for Mixed-Type Tabular Generation

    Sep 30, 2026Pengfei Li, Mohammad KhalilTabular DataTemporal Dependence

    Centre for the Science of Learning & Technology (SLATE), University of Bergen, Bergen, Norway

  29. D-Scope: Decomposing and Steering Diffusion Transformers with Sparse Autoencoders

    Sep 30, 2026Xinyue Xu, Jiahao Zhang, Lijie Hu +2Diffusion TransformersDiffusion Models

    Pivotal Research · Mohamed bin Zayed University of Artificial Intelligence · Schmidt Sciences +2

  30. Specificity-Aware Diffusion Steering via Variance-Reduced Sequential Monte Carlo

    Sep 30, 2026Luran Wang, Linrui Ma, Hannes Stärk +1Diffusion SamplingDiffusion Models

    CSAIL, Massachusetts Institute of Technology

  31. CAST: Causal Advantage-Structured Training with Spatially Grounded Compositional Rewards for Diffusion Models

    Sep 30, 2026Shu Yu, Chaochao LuDiffusion ModelsImage Generation

    Shanghai Artificial Intelligence Laboratory, Shanghai, China · Shanghai Innovation Institute, Shanghai, China · Fudan University, Shanghai, China

  32. Steepest Guidance: A Practical and Principled Approach to Inference-Time Alignment of Flow and Diffusion-based Models

    Sep 30, 2026Shokichi Takakura, Akifumi Wachi, Rei Higuchi +2Diffusion AlignmentDiffusion Models

    LY Corporation · The University of Tokyo · RIKEN AIP

  33. Learning Where to Steer: Noise-Space Geometry for Efficient Offline Multi-Objective Optimization with Generative Models

    Sep 30, 2026Yuan Lu, Esha Singh, Yi-An Ma +1Multi-Objective OptimizationPareto Frontier

    Halıcıoğlu Data Science Institute, UC San Diego · Department of Computer Science & Engineering, UC San Diego

  34. Visualizing Distribution Coverage in Generative Diffusion Models

    Sep 30, 2026Yifei Wang, Xiaoyu Wu, Tsu-Jui Fu +4Diffusion Models

    Rice University · Apple

  35. Distilling Diffusion Score Discrepancy for Efficient Training Data Attribution

    Sep 30, 2026Shixuan Liu, Joan Serrà, Kin Wai Cheuk +6Score-Based Diffusion ModelDiffusion Models

    University of Illinois at Urbana-Champaign · Sony AI · University of Texas at Austin +1

  36. Conditional Generation of Creative Chess Puzzles with Diffusion Models

    Sep 29, 2026Aatu Selkee, Severi Rissanen, Xidong Feng +2ChessDiffusion Models

    Aalto University · Google DeepMind

  37. LogiC-Diff: Embedding Security Properties Into AI-Enabled Cyber-Physical Systems

    Sep 29, 2026Ziyan An, John Stankovic, Meiyi MaCyber-Physical SystemCybersecurity

    Department of Computer Science Vanderbilt University Nashville, TN · Department of Computer Science University of Virginia Charlottesville, VA

  38. ExploreNet: Learning Where to Explore in Diffusion GRPO

    Sep 29, 2026Shuyue Stella Li, Xiaochuang Han, Yulia Tsvetkov +1Diffusion-Based Reinforcement Learning MethodsDiffusion Models

    University of Washington

  39. CLeaR: A Unified Framework for Resolving the Leakage-Degradation Dilemma in Style Transfer

    Sep 29, 2026Teng Zhou, Yunhao ChenPhotorealistic Style TransferStyle

    Zhejiang University · Fudan University

  40. On Trajectory-Aware Training for Masked Diffusion Language Models

    Sep 29, 2026Manuel Madeira, Amitis Shidani, Alice Bizeul +6Masked Diffusion Language ModelsDiffusion Models

    EPFL · Apple · Georgia Institute of Technology

  41. Weeding Out Bad Seeds: Initial-Noise-Robust Unlearning for Text-to-Image Diffusion Models

    Sep 29, 2026Arian Komaei Koma, Seyed Amir Kasaei, Aida Aryafar +6Text-To-Image Diffusion ModelsDiffusion Models

    Sharif University of Technology · Hong Kong University of Science and Technology

  42. E-MoE: Enhanced Mixture-of-Experts for Non-Factorized Diffusion Language Models

    Sep 29, 2026Arseny Ivanov, Alexander Kolesov, Alexander Korotin +2Masked Diffusion Language ModelsDiffusion Language Models

    AXXX, Moscow, Russia · Applied AI Institute, Moscow, Russia

  43. BeatDance: Generating Beat-Consistent 3D Dance with Hierarchical Spatial-Temporal Modeling

    Sep 29, 2026Xiaojian Shen, Dahu Shi, Jianrong Zhang +7DuetTemporal Dynamics

    College of Software, Jilin University, Changchun, 130012, China · College of Computer Science and Technology, Zhejiang University, Hangzhou, 310007, China · ReLER, AAII, University of Technology Sydney, Sydney, Australia +5

  44. DROM: A Language-Guided Diffusion Framework for Multi-Skill Robotic Manipulation

    Sep 29, 2026Vincenzo Pomponi, Rocco Felici, Paolo Franceschi +5Robotic ManipulationRobotic Manipulation Policies

    Institute of Systems and Technologies for Sustainable Production (ISTePS), Department of Innovative Technologies, University of Applied Science and Arts of Southern Switzerland (SUPSI), Via la Santa 1, Lugano, CH-6900, Ticino, Switzerland. · Istituto Dalle Molle di studi sull’intelligenza artificiale (IDSIA), Department of Innovative Technologies, University of Applied Science and Arts of Southern Switzerland (SUPSI), Via la Santa 1, Lugano, CH-6900, Ticino, Switzerland. · Mechanical Department, Politecnico di Milano (PoliMi), Via Giuseppe Candiani, Milan, 20155, Italy. +1

  45. LDM-is-AE: Latent Diffusion Model is an Auto-Encoder for End-to-End Image Generation

    Sep 29, 2026Zhengqiang Zhang, Lingchen Sun, Rongyuan Wu +4Latent Diffusion ModelIdentity-Conditioned Latent Diffusion Models

    The Hong Kong Polytechnic University · OPPO Research Institute

  46. Motion Concept Unlearning in Video Diffusion Models

    Sep 29, 2026Ping Liu, Chi ZhangText-To-Video Diffusion ModelsVideo Diffusion Models

    Computer Science and Engineering University of Nevada, Reno Reno, NV, USA · Department of Mathematics National University of Singapore Singapore

  47. FairDiff: Mitigating the Self-Reinforcing Matthew Effect in Diffusion Recommender Models

    Sep 29, 2026Song-Li Wu, Xianquan Wang, Zhaocheng Du +2Real-World Content Recommendation ProblemDiffusion Models

    Tsinghua University · University of Science and Technology of China · Huawei Noah’s Ark Lab

  48. Trajectory-Level Mode Guidance for Controllable Diffusion-Based Multi-Robot Motion Planning

    Sep 29, 2026Tianyou Yu, Shengze Cai, Chao XuDiffusion PlanningMulti-Robot Motion Planning

    Institute of Cyber-System and Control, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China

  49. Representation by Design in Generation: Cross-View Class-Token Alignment in Diffusion Transformers

    Sep 28, 2026Xiaoyu Wu, Yifei Wang, Chen WeiDiffusion TransformersDiffusion Models

    Carnegie Mellon University · Rice University

  50. Reasoning with Continuous Latent Diffusion

    Sep 28, 2026Xiang ChengEfficient Latent ReasoningLatent Flow

    Duke University Department of Electrical and Computer Engineering

  51. Simplex Diffusion Models

    Sep 28, 2026Justin Deschenaux, Alexandre Galashov, Andrew Campbell +4Diffusion ModelsGenerative Models

    Google DeepMind · EPFL · UCL Gatsby

  52. BiMoGen: Bidirectional Motion-Text Generation via Unified Masked Discrete Diffusion

    Sep 28, 2026Wanjiang Weng, Yongliang Wu, Xiaofeng Tan +3Text-To-Motion GenerationMasked Diffusion Language Models

    Department of Computer Science and Engineering, Southeast University, Nanjing, China · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, Nanjing, China · National University of Singapore +1

  53. First Learn, Then Memorize: The Spectral Bias of Diffusion Models

    Sep 28, 2026Raphaël Urfin, Tony Bonnaire, Giulio Biroli +1Neural Tangent KernelDiffusion Models

    Laboratoire de Physique de l’École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, F-75005 Paris, France · Université Paris-Saclay, CNRS, Institut d’Astrophysique Spatiale, 91405 Orsay, France · Department of Computing Sciences, Bocconi University, Milano, Italy

  54. eval-unlearn: Benchmarking unlearning in Text-to-Image Diffusion Models

    Sep 28, 2026Mansi, Nikhil Raghavan, Zixia Huang +4Text-To-Image Diffusion ModelsText-To-Image

    Imperial College London

  55. Grab a Coffee: Future-Aware Guidance for Discrete Diffusion with Compiled Objectives

    Sep 28, 2026Hua, Xu, Dongxin Li +4Diffusion ModelsGeometric Guidance

    Edward · Data Science and Analytics Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China · Department of Computer Science, University of California, Los Angeles, USA +1

  56. Triangular Resampling for Long-Horizon Motion Generation

    Sep 28, 2026Kunhang Li, Yiyi Cai, Xiangyue Zhang +5Denoising TrajectoryDiffusion Models

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

  57. Unlocking Few-Step Diffusion for Faithful Previews

    Sep 28, 2026Jing Jia, Sifan Liu, Guanyang WangDiffusion SamplingDiffusion Models

    Department of Computer Science, Rutgers University · Department of Statistical Science, Duke University · Department of Statistics, Rutgers University

  58. From Static to Dynamic: On-Policy Distillation from Image to Video Diffusion Models

    Sep 28, 2026Bingqing Jiang, Li Luo, Zichao Yu +3Video Diffusion ModelsDiffusion Models

    The University of Hong Kong · Cornell University

  59. DreamingGoose: Staged Distillation from Autoregressive Transformers to Bidirectional Recurrent Diffusion Language Models

    Sep 28, 2026Julian Boesch, Andrew Wee, Alexander StranzlDiffusion Language ModelsAutoregressive Transformers

    Purdue University · Obit Research · State University of New York at Stony Brook.

  60. ReGDiff: Guided Diffusion in Regulated Latent Space for Exploring Metamaterial Voxel Geometry

    Sep 28, 2026Wangzhi Zhan, Jianpeng Chen, Dongqi Fu +1MetamaterialsVoxel

    Department of Computer Science Virginia Tech Blacksburg, VA 24061 · Meta Menlo Park, CA 94025