Diffusion Models

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Overview

Diffusion models learn a data distribution by gradually corrupting examples with noise and training a denoiser to reverse that process. Major approaches include DDPMs and score-based SDEs, latent diffusion and diffusion Transformers, flow and consistency methods, and discrete masked or continuous-time Markov diffusion; conditioning and guidance adapt them to specific tasks. They are used for images, video, audio, language, molecules, and scientific forecasting, with evaluations ranging from ImageNet FID to language perplexity and domain-specific measures of accuracy and uncertainty. A central tension is how to make sampling faster and generation more controllable without sacrificing quality, calibration, or diversity, while theory and ongoing audits address generalization, memorization, and privacy.

Latest papers

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1,192 papers152 papers in the last four weeks, up 77% on the four weeks before. 0.9% of all new papers.

  1. DreamReader: An Interpretability Toolkit for Text-to-Image Models

    Mar 2, 2026Nirmalendu Prakash, Narmeen Oozeer, Michael Lan +6Diffusion ModelsT2I Diffusion Models

    Singapore University of Technology and Design · Martian · Thoughtworks +2

  2. Data-Efficient Brushstroke Generation with Diffusion Models for Oil Painting

    Mar 1, 2026Dantong Qin, Alessandro Bozzon, Xian Yang +3Generative ModelingImage Generation

    Delft University of Technology, Delft, Netherlands · The University of Manchester, Manchester, UK · The Hong Kong University of Science and Technology, Kowloon, HKSAR

  3. LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model

    Mar 1, 2026Zebin You, Xiaolu Zhang, Jun Zhou +2Diffusion ModelsMultimodal Diffusion Models

    Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China · Beijing Key Laboratory of Research on Large Models and Intelligent Governance · Engineering Research Center of Next-Generation Intelligent Search and Recommendation, MOE +1

  4. BadRSSD: Backdoor Attacks on Regularized Self-Supervised Diffusion Models

    Mar 1, 2026Jiayao Wang, Yiping Zhang, Mohammad Maruf Hasan +5Diffusion Models

    School of Information and Artificial Intelligence, Yangzhou University, China · School of Computing and Artificial Intelligence, Chaohu University, China · Tacoma School of Engineering and Technology, University of Washington, USA

  5. Mobile-VTON: High-Fidelity On-Device Virtual Try-On

    Mar 1, 2026Zhenchen Wan, Ce Chen, Runqi Lin +5Virtual Try-OnOn-Device Inference

    University of Sydney · MBZUAI · University of Melbourne +1

  6. Stroke outcome and evolution prediction from CT brain using a spatiotemporal diffusion autoencoder

    Feb 28, 2026Adam Marcus, Paul Bentley, Daniel RueckertDiffusion AutoencoderClinical Outcome Prediction

    Imperial College London, London, UK · Technische Universität München, München, Germany

  7. Efficient Long-Sequence Diffusion Modeling for Symbolic Music Generation

    Feb 28, 2026Jinhan Xu, Xing Tang, Houpeng Yang +7Symbolic Music GenerationDiffusion Models

    School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China 430070 · School of Computer Science, Hubei University of Technology, Wuhan, China 430068 · School of Information Engineering, Hubei University of Economics, Wuhan, China 430205; Hubei Key Laboratory of Digital Finance Innovation, Wuhan, China 430205

  8. Jano: Adaptive Diffusion Generation with Early-stage Convergence Awareness

    Feb 28, 2026Yuyang Chen, Linqian Zeng, Yijin ZHou +2Diffusion Timestep SchedulingDiffusion Model Inference Acceleration

    Shanghai Jiaotong University · Tsinghua University

  9. Roots Beneath the Cut: Uncovering the Risk of Concept Revival in Pruning-Based Unlearning for Diffusion Models

    Feb 28, 2026Ci Zhang, Zhaojun Ding, Chence Yang +7Diffusion Model UnlearningMachine Unlearning

    University of Georgia · Carnegie Mellon University · Northeastern University +2

  10. Do Diffusion Models Dream of Electric Planes? Discrete and Continuous Simulation-Based Inference for Aircraft Design

    Feb 27, 2026Aurelien Ghiglino, Daniel Elenius, Anirban Roy +7Diffusion ModelsConditional Diffusion Models

    Computer Science Laboratory, SRI · Aerospace Design Laboratory, Stanford University

  11. GeoDiff4D: Geometry-Aware Diffusion for 4D Head Avatar Reconstruction

    Feb 27, 2026Chao Xu, Xiaochen Zhao, Xiang Deng +43D Avatar Generation3D Face Reconstruction

    Tsinghua University · Li Auto

  12. Ordinal Diffusion Models for Color Fundus Images

    Feb 27, 2026Gustav Schmidt, Philipp Berens, Sarah MüllerDiffusion-Based Image GenerationDiffusion Models

    Hertie Institute for AI in Brain Health, University of Tübingen, Germany

  13. Diffusion Probe: Generated Image Result Prediction Using CNN Probes

    Feb 27, 2026Benlei Cui, Bukun Huang, Zhizeng Ye +7T2I Diffusion ModelsDiffusion Models

    Yuvion Team, Alibaba Group · Laboratory for Statistical Monitoring and Intelligent Governance of Common Prosperity, School of Statistics and Data Science, Zhejiang Gongshang University · Southeast University +2

  14. Selective Denoising Diffusion Model for Time Series Anomaly Detection

    Feb 27, 2026Kohei Obata, Zheng Chen, Yasuko Matsubara +2LLM-Based Time Series Anomaly DetectionTime-Series Anomaly Detection

    SANKEN, The University of Osaka, Osaka, Japan · Great Bay University, Dongguan, China

  15. BuildAnyPoint: 3D Building Structured Abstraction from Diverse Point Clouds

    Feb 27, 2026Tongyan Hua, Haoran Gong, Yuan Liu +33D Mesh GenerationDiffusion Models

    HKUST(GZ) · Xi’an Jiaotong University · HKUST

  16. SALIENT: Frequency-Aware Paired Diffusion for Controllable Long-Tail CT Detection

    Feb 26, 2026Yifan Li, Mehrdad Salimitari, Taiyu Zhang +2Medical Image AnalysisSynthetic Data Augmentation

    Trauma Radiology AI Laboratory (TRAIL), Department of Radiology and Nuclear Medicine, University of Maryland School of Medicine · Department of Radiology and Nuclear Medicine, University of Maryland School of Medicine

  17. Face Time Traveller : Travel Through Ages Without Losing Identity

    Feb 26, 2026Purbayan Kar, Ayush Ghadiya, Vishal Chudasama +2Identity-Preserving Image GenerationDiffusion Models

    Sony Research India · IIIT Hyderabad

  18. Causal Motion Diffusion Models for Autoregressive Motion Generation

    Feb 26, 2026Qing Yu, Akihisa Watanabe, Kent FujiwaraHuman Motion GenerationDiffusion Models for Motion Generation

    LY Corporation · Waseda University

  19. Absorbing Discrete Diffusion for Speech Enhancement

    Feb 25, 2026Philippe GonzalezSpeech EnhancementDiffusion Models

    Department of Health Technology, Technical University of Denmark

  20. Probing the Geometry of Diffusion Models with the String Method

    Feb 25, 2026Elio Moreau, Florentin Coeurdoux, Grégoire Ferre +1Diffusion Models

    Capital Fund Management, 23 Rue de l’Université, 75007 Paris · ML Lab, Capital Fund Management, 23 Rue de l’Université, 75007 Paris · Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, USA

  21. Learning Quantum Data Distribution via Chaotic Quantum Diffusion Model

    Feb 25, 2026Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo +1Quantum Generative ModelingDiffusion Models

    Quantum Laboratory, Fujitsu Research, Fujitsu Limited, Kawasaki, Kanagawa 211-8588, Japan

  22. EndoDDC: Learning Sparse to Dense Reconstruction for Endoscopic Robotic Navigation via Diffusion Depth Completion

    Feb 25, 2026Yinheng Lin, Yiming Huang, Beilei Cui +4Depth EstimationDepth Completion

    All authors are with the Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China.

  23. The Design Space of Tri-Modal Masked Diffusion Models

    Feb 25, 2026Louis Bethune, Victor Turrisi, Bruno Kacper Mlodozeniec +21Diffusion ModelsMultimodal Diffusion Models

    Apple · University of Cambridge · MIT +1

  24. RelA-Diffusion: Relativistic Adversarial Diffusion for Multi-Tracer PET Synthesis from Multi-Sequence MRI

    Feb 24, 2026Minhui Yu, Yongheng Sun, David S. Lalush +3Medical Image SynthesisDiffusion Models

    Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. · Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC 27599, USA. · Department of Exercise and Sport Science, UNC-CH, Chapel Hill, NC 27599, USA.

  25. The Diffusion Duality, Chapter II: ΨΨ-Samplers

    Feb 24, 2026Justin Deschenaux, Caglar Gulcehre, Subham Sekhar SahooDiffusion ModelsDiffusion Sampling

    EPFL, Lausanne, Switzerland · Microsoft AI · Cornell Tech, NY

  26. OrthoDiffusion: A Generalizable Multi-Task Diffusion Foundation Model for Musculoskeletal MRI Interpretation

    Feb 24, 2026Tian Lan, Lei Xu, Zimu Yuan +8Diffusion Models for Medical Image SegmentationMedical Imaging Foundation Models

    Center for Applied Statistics and School of Statistics, Renmin University of China, Beijing, China. · Department of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China. · Beijing Key Laboratory of Research and Translation for Drugs and Medical Devices in Precision Diagnosis and Treatment of Sports Injuries, Beijing, China. +4

  27. Sample-efficient evidence estimation of score based priors for model selection

    Feb 24, 2026Frederic Wang, Katherine L. BoumanBayesian InferenceDiffusion-Based Inverse Problems

    Department of Computing and Mathematical Sciences, Caltech, Pasadena, CA 91125, USA

  28. LESA: Learnable Stage-Aware Predictors for Diffusion Model Acceleration

    Feb 24, 2026Peiliang Cai, Jiacheng Liu, Haowen Xu +3Diffusion Model Inference AccelerationDiffusion Models

    Shanghai Jiao Tong University

  29. Mean-Field Path-Integral Diffusion: From Samples to Interacting Agents

    Feb 23, 2026Michael ChertkovDiffusion ModelsMulti-Agent Control

    Graduate Interdisciplinary Program in Applied Mathematics & Department of Mathematics, University of Arizona, Tucson, AZ, USA

  30. Discrete Diffusion with Sample-Efficient Estimators for Conditionals

    Feb 23, 2026Karthik Elamvazhuthi, Abhijith Jayakumar, Andrey Y. LokhovDiffusion ModelsConditional Distribution Estimation