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. When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators

    Feb 23, 2026Krzysztof Adamkiewicz, Brian Bernhard Moser, Stanislav Frolov +3Modern Text-To-Image ModelsSynthetic Training Data

    1RPTU University Kaiserslautern-Landau, Kaiserslautern, Germany · 2German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany

  2. Manifold-Aligned Generative Transport

    Feb 23, 2026Xinyu Tian, Xiaotong ShenDiffusion ModelsLow-Dimensional Structure

    School of Statistics, University of Minnesota, MN, 55455 USA

  3. UniE2F: A Unified Diffusion Framework for Event-to-Frame Reconstruction with Video Foundation Models

    Feb 22, 2026Gang Xu, Zhiyu Zhu, Junhui HouVideo Diffusion ModelsLarge Inter-Frame Displacements

    Department of Computer Science, City University of Hong Kong, Hong Kong, China · Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China · Department of Computer Science, City University of Hong Kong (Dongguan), Dongguan, China

  4. 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

    Microsoft Research AI for Science

  5. Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching

    Feb 17, 2026Jeongwoo Shin, Jinhwan Sul, Joonseok Lee +2Schrödinger BridgesDiffusion Models

    Seoul National University, Seoul, Korea · Georgia Institute of Technology, Atlanta, GA, USA · Sungkyunkwan University, Seoul, Korea

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

    Feb 16, 2026Daniil Dmitriev, Zhihan Huang, Yuting WeiScore-Based Diffusion ModelDiffusion Dynamics

    Department of Statistics and Data Science, the Wharton School, University of Pennsylvania

  7. General and Efficient Steering of Diffusion Models

    Feb 11, 2026Qingsong Wang, Mikhail Belkin, Yusu WangDiffusion Models

    Halıcıoğlu Data Science Institute, University of California San Diego, La Jolla, CA, USA

  8. ELROND: Exploring and decomposing intrinsic capabilities of diffusion models

    Feb 10, 2026Paweł Skierś, Emilia Kaczmarczyk, Tomasz Trzciński +1Diffusion Models

    Warsaw University of Technology · IDEAS Research Institute

  9. Selective Fine-Tuning for Targeted and Robust Concept Unlearning

    Feb 8, 2026Mansi, Avinash Kori, Francesca Toni +1Adversarial PromptsDiffusion Models

    Department of Computing Imperial College London, United Kingdom

  10. Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design

    Feb 4, 2026Jaemoo Choi, Yuchen Zhu, Wei Guo +6Diffusion-Based Reinforcement Learning MethodsReward Gradients

    Georgia Institute of Technology · National University of Singapore · Nanjing university.

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

    Feb 3, 2026Fabian Schneider, Meghdoot Mozumder, Konstantin Tamarov +4Bayesian Inverse ProblemsScore-Based Diffusion Model

    Department of Computational Engineering, School of Engineering Science LUT University, Finland. · Institute of Analysis and Scientific Computing, TU Wien, Austria. · Department of Technical Physics, Faculty of Science, Forestry and Technology, University of Eastern Finland, Finland. +1

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

    Feb 2, 2026Binxu Wang, Jacob Zavatone-Veth, Cengiz PehlevanDiffusion Models

    Kempner Institute, Harvard University, Boston, MA, USA · Center for Brain Science, Harvard University, Cambridge, MA, USA · Society of Fellows, Harvard University, Cambridge, MA, USA +1

  13. Manifold-Aware Perturbations for Constrained Generative Modeling

    Jan 30, 2026Katherine Keegan, Lars RuthottoGenerative ModelsManifold Perspective

    Department of Mathematics, Emory University, Atlanta, Georgia, USA.

  14. Dynamics-Inspired Diffusion for Foreground-Preserving Document Background Editing

    Jan 29, 2026Taewon Kang, Yu Shen, Ming C. LinStylizationDiffusion Models

    University of Maryland at College Park, United States

  15. Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding

    Jan 25, 2026Zhongyu Xiao, Zhiwei Hao, Jianyuan Guo +4Diffusion Language ModelsDiffusion Models

    School of information and Electronics, Beijing Institute of Technology, Beijing · Department of Computer Science, City University of Hong Kong, Hong Kong · School of Computer Science, Wuhan University, Wuhan +2

  16. Toward Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion

    Jan 22, 2026Yonghao Xu, Pedram Ghamisi, Qihao WengRemote SensingDataset Distillation

    Computer Vision and Learning Systems, Department of Electrical Engineering, Linköping University, 581 83 Linköping, Sweden · Helmholtz-Zentrum Dresden-Rossendorf, Responsible AI Group, 09599 Freiberg, Germany · University of Iceland, Faculty of Electrical and Computer Engineering, Reykjavik 102, Iceland +1

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

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

    South China University of Technology · Joy Future Academy

  18. Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models

    Jan 21, 2026Injin Kong, Hyoungjoon Lee, Yohan JoMasked Diffusion Language ModelsDiffusion Language Models

    Graduate School of Data Science, Seoul National University · Department of Biosystems & Biomaterials Science and Engineering, Seoul National University

  19. A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models

    Jan 20, 2026Qiang Sun, H. Vincent Poor, Wenyi ZhangDiffusion ModelsKullback-Leibler Divergence

    Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China · Department of Electrical Engineering, Princeton University, Princeton, NJ, USA

  20. Control Variate Score Matching for Diffusion Models

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

    1Google DeepMind · 2BIFOLD – Berlin Institute for the Foundations of Learning and Data · 3Machine Learning Group, Technische Universität Berlin +2

  21. Diffusion Models in Simulation-Based Inference: A Tutorial Review

    Dec 22, 2025Jonas Arruda, Niels Bracher, Ullrich Köthe +2Score-Based Diffusion ModelDiffusion Models

    Bonn Center for Mathematical Life Sciences, Life & Medical Sciences Institute, University of Bonn, Germany · Center for Modeling, Simulation, & Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, NY, USA · Computer Vision and Learning Lab, Heidelberg University, Germany

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

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

    Shanghai Innovation Institute · Fudan University · Shanghai Academy of AI for Science +2

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

    Dec 20, 2025David Graber, Victor Armegioiu, Rebecca Buller +1Out-Of-Distribution DetectionGraph Representation Learning

    Seminar for Applied Mathematics, Department of Mathematics and ETH AI Center, ETH Zurich, 8092 Zurich, Switzerland · Institute for Computational Life Sciences, Zurich University of Applied Sciences, 8820 Waedenswil, Switzerland · Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, 3012 Bern, Switzerland

  24. GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models

    Dec 17, 2025Bozhou Li, Sihan Yang, Yushuo Guan +6Text-To-Video Diffusion ModelsText-To-Image

    Peking University · Kling Team, Kuaishou Technology · Xi’an Jiaotong University +1

  25. FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation

    Dec 17, 2025Runze Li, Hanchen Wang, Wenjie Zhang +4ImputationFourier

    University of New South Wales, Australia · University of Technology Sydney, Australia · The Chinese University of Hong Kong, Shenzhen, China

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

    Dec 17, 2025Zijiang Yan, Yixiang Huang, Jianhua Pei +2Diffusion ModelsSynthetic Aperture Radar

    department of Electrical Engineering and Computer Science, York University, Toronto, Canada · School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China · China Southern Grid Electric Power Dispatch Control Center, Guangzhou, China +3

  27. Multi-dimensional Preference Alignment by Conditioning Reward Itself

    Dec 11, 2025Jiho Jang, Jinyoung Kim, Kyungjune Baek +1Diffusion AlignmentBacktranslation Augmented Direct Preference Optimization

    Seoul National University · Sejong University

  28. Early Estimation of Language to Latent Alignment in Diffusion Models

    Dec 9, 2025Vasco Ramos, Regev Cohen, Idan Szpektor +1Diffusion ModelsLatent Representation Alignment

    NOVALINCS, NOVA University of Lisbon, Portugal · Google Research

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

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

    Communication University of China · University of Science and Technology of China · Microsoft Research Asia

  30. ContextAnyone: Context-Aware Diffusion for Character-Consistent Text-to-Video Generation

    Dec 8, 2025Ziyang Mai, Yu-Wing TaiText-To-Video Diffusion ModelsText-To-Video Generation Model

    Dartmouth College

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

    Dec 1, 2025Ngoc Huynh Trinh, Hai Toan Nguyen, Son Ba Luong +1Semi-Supervised Medical Image SegmentationLatent Diffusion Model

    Institute for Artificial Intelligence, University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam

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

    Nov 28, 2025Pankhil Gawade, Adam Izdebski, Myriam Lizotte +4Generative Pretrained TransformersBehavioral Embeddings

    Institute of AI for Health, Helmholtz Munich · School of Computation, Information and Technology, Technical University of Munich · Mila - Quebec AI institute; Univ. de Montreal +3

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

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

    Bilkent University, Department of Computer Engineering, Ankara, Türkiye

  34. Anchor to Expand: Semantic Anchoring for Personalized Text-to-Image Diffusion Models

    Nov 27, 2025Seoyun Yang, Gihoon Kim, Taesup KimText-To-Image Diffusion ModelsImage-Text Alignment

    Graduate School of Data Science, Seoul National University

  35. DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive Models

    Nov 26, 2025Mingue Park, Prin Phunyaphibarn, Phillip Y. Lee +1Autoregressive Image GenerationVisual Autoregressive Models

    KAIST

  36. Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation

    Nov 25, 2025Taehoon Kim, Henry Gouk, Timothy HospedalesDiffusion AlignmentText-To-Image Diffusion Models

    School of Informatics, University of Edinburgh · 2Samsung AI Center, Cambridge

  37. FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning

    Nov 22, 2025Bo Yin, Xiaobin Hu, Xingyu Zhou +7Diffusion ModelsModel Fine-Tuning

    National University of Singapore · University of Electronic Science and Technology of China · Nanyang Technological University +4

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

    Nov 21, 2025Hao Chen, Renzheng Zhang, Scott S. HowardDiffusion PriorsBayesian Inverse Problems

    University of Notre Dame, Notre Dame, IN 46556, USA

  39. Distribution Matching Distillation Meets Reinforcement Learning

    Nov 17, 2025Dengyang Jiang, Dongyang Liu, Zanyi Wang +12Distribution Matching DistillationDiffusion Models

    1HKUST · 2Alibaba Group · 3SIAT, CAS +3

  40. Hi-DREAM: Brain-Inspired Hierarchical Diffusion for fMRI-to-Image Reconstruction via ROI Encoder and VisuAl Mapping

    Nov 14, 2025Guowei Zhang, Yun Zhao, Kai Sun +4Functional Magnetic Resonance ImagingNeural Reconstruction

    Dept of Data Science and AI, Monash University, Melbourne, Australia · Brain and Mind Centre, University of Sydney, Sydney, Australia · School of Psychological Sciences, Monash University, Melbourne, Australia

  41. Rethinking Robust Adversarial Concept Erasure in Diffusion Models

    Oct 31, 2025Qinghong Yin, Yu Tian, Heming Yang +5Concept ErasureText-To-Image Diffusion Models

    Beijing University of Posts and Telecommunications, China · University of Chinese Academy of Sciences, China · Nanjing University of Aeronautics and Astronautics, China

  42. CharDiff-LP: A Diffusion Model with Character-Level Guidance for License Plate Image Restoration

    Oct 20, 2025Kihyun Na, Gyuhwan Park, Injung KimRobust License Plate RecognitionImage Restoration

    Department of Computer Science and Electrical Engineering, General Graduate School, Handong Global University, Pohang 37554, Republic of Korea

  43. Not Every Time and Frequency Need to Be Forgotten in Diffusion Unlearning

    Oct 20, 2025Jinseong Park, Mijung ParkDiffusion ModelsDiffusion Dynamics

    Korea Institute for Advanced Study · University of British Columbia

  44. Leveraging Prior Knowledge of Diffusion Model for Person Search

    Oct 2, 2025Giyeol Kim, Sooyoung Yang, Jihyong Oh +2Diffusion ModelsImagenet

    GSAIM, Chung-Ang University · IPAI, Seoul National University · Department of Mathematical Sciences and RIMS, Seoul National University

  45. Data-to-Energy Stochastic Dynamics

    Sep 30, 2025Kirill Tamogashev, Esmeralda S. WhitammerSchrödinger BridgesDiffusion Models

    University of Edinburgh

  46. DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space

    Sep 29, 2025Wenkun He, Yuchao Gu, Junyu Chen +11Text-To-Image Diffusion ModelsDiffusion Models

  47. Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models

    Sep 29, 2025Shuchen Xue, Chongjian Ge, Shilong Zhang +2Diffusion ModelsDiffusion Policies

    UCAS · Adobe Research · HKU +1

  48. Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA

    Sep 26, 2025Chen Li, Meilong Xu, Xiaoling Hu +2Text-Conditioned Diffusion ModelSemi-Supervised Medical Image Segmentation

    Stony Brook University, Stony Brook, NY, USA · Massachusetts General Hospital and Harvard Medical School, MA, USA

  49. Enabling Approximate Joint Sampling in Diffusion LMs

    Sep 25, 2025Parikshit Bansal, Sujay SanghaviDiffusion Language ModelsDiffusion Models

    UT Austin

  50. A Gradient Flow Approach to Solving Inverse Problems with Latent Diffusion Models

    Sep 23, 2025Tim Y. J. Wang, O. Deniz AkyildizDiffusion ModelsLatent Diffusion Model

    Department of Mathematics Imperial College London

  51. Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation

    Sep 16, 2025Qianguang Zhao, Dongli Wang, Yan Zhou +2Few-Shot SegmentationPoint Clouds

    School of Mathematics and Computational Science, Xiangtan University, Xiangtan 411105, China · School of Automation and Electronics Information, Xiangtan University, Xiangtan 411105, China · School of Automation, Shanghai Jiao Tong University, Shanghai 200232, China

  52. TinySR: Pruning Diffusion for Real-World Image Super-Resolution

    Aug 24, 2025Linwei Dong, Qingnan Fan, Yuhang Yu +4Real-World Image Super-ResolutionHigh-Resolution

    Zhejiang University · Vivo Mobile Communication Co. Ltd · Zhejiang Lab

  53. FoundDiff: Foundational Diffusion Model for Generalizable Low-Dose CT Denoising

    Aug 24, 2025Zhihao Chen, Qi Gao, Zilong Li +4Positron Emission TomographyCone-Beam Computed Tomography

    Institute of Science and Technology for Brain-inspired Intelligence and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China · Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai 200433, China · School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China +1

  54. Diffusion Models are Open-World Affordance Learners: Leveraging Generative Priors for 3D Affordance Learning

    Aug 3, 2025Hanqing Wang, Zhenhao Zhang, Kaiyang Ji +12Open-WorldGenerative Models

    The Hong Kong University of Science and Technology, Guangzhou, China · ShanghaiTech University, Shanghai, China · Zhejiang University, Hangzhou, China +3

  55. Detail++: Training-Free Detail Enhancer for T2I Diffusion Models

    Jul 23, 2025Lifeng Chen, Jiner Wang, Zihao Pan +3Text-To-Image Diffusion ModelsText-To-Image

    AGI Lab, Westlake University · Nanyang Technological University

  56. Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture

    Jun 24, 2025Shuchen Xue, Tianyu Xie, Tianyang Hu +5Diffusion Language ModelsMasked Diffusion Language Models

    University of Chinese Academy of Sciences · Academy of Mathematics and Systems Science, Chinese Academy of Sciences · School of Mathematical Sciences, Peking University +2

  57. When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators

    Jun 24, 2025Jintao Rong, Xin Xie, Xinyi Yu +4Student-Generated TrajectoriesEffective Distillation

    Zhejiang University of Technology · University of New South Wales (UNSW Sydney) · University of Auckland +1

  58. AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario

    Jun 20, 2025Ciro Beneduce, Massimiliano Luca, Bruno LepriText-To-Image Diffusion ModelsDiffusion Models

    * Bruno Kessler Foundation · **University of Trento

  59. Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models

    Jun 12, 2025Konstantinos Vilouras, Ilias Stogiannidis, Junyu Yan +2Chest X-RayRadiology Report Generation

    School of Engineering, University of Edinburgh · Canon Medical Research Europe Ltd.

  60. ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition

    Jun 11, 2025Parsa Rahimi, Sebastien MarcelSynthetic DataData Augmentation

    1EPFL, Switzerland · 2Idiap, Switzerland