Few-Step Diffusion Sampling

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19 papers in the last four weeks, up 280% on the four weeks before. 0.2% of all new papers.

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  1. Two Halves are More than One: Phase-wise Velocity Distillation for Fast and High-Quality Image Generation

    Oct 6, 2026Zhen Guo, Rongyuan Wu, Qiaosi Yi +3Diffusion Model DistillationDiffusion Distillation

    Department of Computing, The Hong Kong Polytechnic University · OPPO Research Institute

  2. DMAD: Distribution Matching as Adversarial Distillation for Fast Visual Generation

    Oct 1, 2026Zhengming Yu, Junkun Yuan, Haotian Yang +8Diffusion Model DistillationFew-Step Diffusion Sampling

    Texas A&M University · Intelligent Creation, ByteDance

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

    Oct 1, 2026Aneesh Barthakur, Mathias Niepert, Luiz F. O. ChamonDiffusion Model GuidanceFew-Step Diffusion Sampling

    University of Stuttgart · École polytechnique, Institut Polytechnique de Paris

  4. Uncertainty-Aware Consistency Distillation for Few-Step Video Generation

    Sep 30, 2026Lingyu Liu, Yaxiong Wang, Li Zhu +1Video Diffusion ModelsFew-Step Diffusion Sampling

    School of Software Xi’an Jiaotong University Xi’an, China. · School of Computer and Information Science Hefei University of Technology Hefei, China. · Faculty of Science and Technology, and Institute of Collaborative Innovation University of Macau Macau, China.

  5. Visualizing Distribution Coverage in Generative Diffusion Models

    Sep 30, 2026Yifei Wang, Xiaoyu Wu, Tsu-Jui Fu +4Diffusion DistillationFew-Step Diffusion Sampling

    Rice University · Apple

  6. Acceleration of Diffusion Language Model through Discrete Average Generator

    Sep 29, 2026Yidong Ouyang, Zhengyan Wan, Themis Haris +8Few-Step Diffusion SamplingDiffusion Language Model Inference

    University of California, Los Angeles · Google · Work done as a research intern at Google

  7. DMA2^2: Pixel-space Distribution Matching with Adversarial and Anchor Losses

    Sep 29, 2026Xin Lin, Zhifei Zhang, Yuqian Zhou +6Diffusion Model DistillationPixel-Space Diffusion Models

    UC San Diego · Adobe Research · University of Virginia +1

  8. MeanFlowAdvantage: Stable Reward Fine-Tuning for Few-Step Average-Velocity Generators

    Sep 29, 2026Haocheng Tang, Tianchi Xie, Xingqiao LinFlow MatchingMeanFlow

    Northeastern University Boston, MA 02115, USA · Tsinghua University Beijing, 100084, PRC · Carnegie Mellon University Pittsburgh, PA 15213, USA

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

    Sep 29, 2026Arseny Ivanov, Alexander Kolesov, Alexander Korotin +2Masked Diffusion ModelsFew-Step Diffusion Sampling

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

  10. Improved Distributional Diffusion Models

    Sep 29, 2026Tommaso Martorella, Alexandre Galashov, Felix Krause +4Few-Step Diffusion SamplingDiffusion-Based Image Generation

    Munich Center for Machine Learning (MCML) · Google DeepMind

  11. Salt++: Context-Aligned Post-Training for Few-Step Streaming Multimodal Generation

    Sep 29, 2026Xingtong Ge, Yutong Wang, Lunjie Zhu +7Audio-Video GenerationVideo Diffusion Models

    The Hong Kong University of Science and Technology · Vivix Group Limited · The University of Sydney +1

  12. Unlocking Few-Step Diffusion for Faithful Previews

    Sep 28, 2026Jing Jia, Sifan Liu, Guanyang WangDiffusion SamplingFew-Step Diffusion Sampling

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

  13. Simple Diffusion Language Models Are More Effective Few-Step Generators Than Reported

    Sep 27, 2026Hasan Amin, Ming Yin, Rajiv KhannaMasked Diffusion ModelsLanguage Model Generation Evaluation

    Purdue University

  14. Spectral Amplitude Purification in Distribution Matching for Diffusion Distillation

    Sep 24, 2026Zhenyu Zhou, Can Wang, Chun Chen +2Diffusion Model DistillationFew-Step Diffusion Sampling

    Zhejiang University · University of California, Berkeley

  15. ViRDM: Taming Representation Distribution Matching for Few-Step Causal Video Generation

    Sep 24, 2026Zichong Meng, Chongjian Ge, Chun-Hao P. Huang +2Diffusion Model DistillationDistribution Matching

    Northeastern University · Adobe Research

  16. DART: Distillation-Aware Reparameterization for Training-Free LoRA Reuse in Few-Step Video Diffusion Models

    Sep 17, 2026Shihong Li, Juntao Xu, JinCao +3Video Diffusion ModelsDiffusion Model Distillation

    University of Electronic Science and Technology of China · Tsinghua University · Harbin Institute of Technology +1

  17. Beyond Random Couplings: Contrastive Noise Alignment in Generative Flows

    Sep 16, 2026Lennart Wittke, Vinicius AzevedoFlow MatchingCross-Modal Alignment

    ETH Zürich · Disney Research | Studios

  18. Representation-based Masked Diffusion Model

    Sep 14, 2026Yangrong Hu, Ding Huang, Xueyu Zhou +1Non-Autoregressive Text GenerationMasked Diffusion Models

    Department of Data Science and Artificial Intelligence The Hong Kong Polytechnic University, Hong Kong SAR, China · Department of Applied Mathematics The Hong Kong Polytechnic University, Hong Kong SAR, China · ByteDance Seed, Beijing, China

  19. CrossDistill: Balancing Quality and Diversity via Trajectory-Level Hybrid Few-Step Distillation

    Sep 13, 2026Yuxi Liu, Haoyu Li, Yixiang Cai +8Video Diffusion ModelsDiffusion Model Distillation

    Peking University, Melon Group · Alibaba Group · Tsinghua University

  20. Uncertainty DMD: Restoring Diversity in Few-Step Autoregressive Video Distillation

    Sep 11, 2026Zixuan Duan, Xunzhi Xiang, Yabo Chen +6Diffusion Model DistillationFew-Step Diffusion Sampling

    Nanjing University, Institute of Artificial Intelligence, China Telecom (TeleAI), China · Institute of Artificial Intelligence, China Telecom (TeleAI), China · Fudan University, Institute of Artificial Intelligence, China Telecom (TeleAI), China

  21. SelfLift: Accelerating Few-Step Diffusion via Self-Recovering Resolution Transition

    Sep 2, 2026Tingyan Wen, Chenqian Yan, Xurui Peng +4Few-Step Diffusion SamplingDiffusion Model Inference Acceleration

    1Tsinghua University · 2ByteDance

  22. Efficient and High-Quality Depth Estimation via Pixel-Space Diffusion with Linear Attention

    Aug 31, 2026Bingde Liu, Wu Ran, Jinglei Zhang +2Monocular Depth EstimationPixel-Space Diffusion Models

    MoE Key Lab of Artificial Intelligence, Institute of AI, Shanghai Jiao Tong University, Shanghai, China · Zhiyuan College, Shanghai Jiao Tong University, Shanghai, China

  23. GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors

    Aug 12, 2026Jiazheng Liu, Hang Li, Jiawei Zhang +5Few-Step Diffusion SamplingVideo Generation

    School of Computer Science and Engineering, Beihang University · Macquarie University · Tianyi Transportation Technology Co., Ltd, Suzhou 215133, China +3

  24. DUET: A Diversity-Quality Duet of Distillation Experts for Two-Step Video Generation

    Aug 10, 2026Zian Li, Litong Gong, Borui Liao +6Video Diffusion ModelsDiffusion Model Distillation

    Institute for Artificial Intelligence, Peking University, Beijing, China · School of Intelligence Science and Technology, Peking University, Beijing, China · *Work done as an intern at Alibaba Group +3

  25. RL-Native Distillation: Exploiting Scored Trajectories for Few-Step Image Generation

    Aug 10, 2026Yuhan Li, Fangao Zeng, Sicong Kang +7Diffusion Model DistillationFew-Step Diffusion Sampling

    Shanghai Jiao Tong University · Taobao & Tmall group of Alibaba

  26. Latent-Kernel Discrete Flow Maps for Few-Step Generation

    Jul 29, 2026Mansoor Ahmed, Yue-Tsz Fan, Hemanth Venkateswara +1Latent Variable ModelsFew-Step Diffusion Sampling

    Georgia State University, Atlanta, GA, USA · Georgia Institute of Technology, Atlanta, GA, USA

  27. Parallel Decoding Distillation for Fast Image and Video Generation

    Jul 28, 2026Neta Shaul, Chao Liu, Arash Vahdat +1Video Diffusion ModelsDiffusion Model Distillation

    2Weizmann Institute of Science · 1NVIDIA

  28. Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling

    Jul 27, 2026Qitan Shi, Cheng Jin, Ziyuan Liu +1Diffusion Model SamplingImage Generation

    Tsinghua University

  29. Multi-Mask Diffusion Language Models for Few-Step Generation

    Jul 22, 2026Sijin Chen, Yinuo Ren, Heyang Zhao +3Masked Diffusion ModelsDiffusion Model Distillation

    ByteDance Seed · Princeton University · Stanford University +2

  30. Spatial Transport of Integration Error in Generative ODEs

    Jul 17, 2026Songheng YinDiffusion Model SamplingFew-Step Diffusion Sampling

    Columbia University

  31. Velocity Scheduled Flow Matching

    Jul 13, 2026Vitalii BondarFlow MatchingConditional Flow Matching

    Cherkasy State Technological University Cherkasy, Ukraine

  32. FdAudio: MeanFlow-Anchored Fréchet-Distance Post-Training for One-Step Text-to-Audio Generation

    Jul 11, 2026Kuan-Po Huang, Bo-Ru Lu, Ho-Lam Chung +2Text-to-Audio GenerationFlow Matching

    National Taiwan University · Amazon

  33. IB-Flow: Information Bottleneck-Guided CFG Distillation for Few-Step Text-to-Image Generation

    Jul 10, 2026Yiting Wang, Jingyi Zhang, Wenhu Zhang +4Diffusion Model DistillationFew-Step Diffusion Sampling

    Tsinghua University · Wan Team, Alibaba Group · HKUST +1

  34. OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators

    Jul 9, 2026Hongyu Liu, Chun Wang, Feng Gao +6Video Diffusion ModelsAutoregressive Diffusion

    Meituan · HKUST · City University of Hong Kong

  35. Bridging Diffusion Pruning and Step Distillation with Teacher-Aligned Repair

    Jul 7, 2026Jincheng Ying, Li Wenlin, Minghui Xu +1Diffusion Model DistillationFew-Step Diffusion Sampling

    School of Big Data and Artificial Intelligence Guangdong University of Finance and Economics Guangzhou, China · School of Computer Science Shandong University Qingdao, China · GDUFE-UCM Joint Institute Guangdong University of Finance and Economics Guangzhou, China

  36. Dynamic-in-Few-Step: Unifying Dynamic Computation and Few-Step Distillation for Efficient Video Generation

    Jul 7, 2026Yu Cheng, Siyue Yao, Zhongang Qi +3Video Diffusion ModelsDiffusion Model Distillation

    Zhejiang University · BlueImage, vivo · Westlake University

  37. x-Prediction Is All You Need:Training-Free Accelerated Generation via Endpoint Decodability

    Jul 7, 2026Xin Peng, Ang GaoDiffusion SamplingFew-Step Diffusion Sampling

    School of Physical Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China

  38. Fréchet Distance Loss on Speech Representations for Text-to-Speech Synthesis

    Jul 7, 2026Ho-Lam Chung, Kuan-Po Huang, Bo-Ru Lu +1Flow MatchingTTS Synthesis

    Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan · Graduate Institute of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan · Amazon

  39. D2PO: Optimizing Diffusion Samplers via Dynamic Preference

    Jul 7, 2026Jinkyu Kim, Jinyoung Choi, Bohyung HanDiffusion Model AlignmentDirect Preference Optimization

    1ECE & 2IPAI, Seoul National University, Korea · 3AIGS, Ulsan National Institute of Science and Technology, Korea

  40. EMPURPLE: A Free Lunch for Diffusion Distillation based on the Information Bottleneck

    Jul 5, 2026Zilai Li, Lujia BaiDistribution ShiftDiffusion Model Distillation

    Independent researcher, University of Nottingham, Nottingham, UK

  41. Tensor-Train Joint Modeling for Few-Step Discrete Diffusion

    Jul 4, 2026Byoungkwon Kim, Minhyuk SungMasked Diffusion ModelsTensor Decomposition

    KAIST

  42. A Decomposable Probe for Few-Step Diffusion Models: Prompt, Latent, and Score Selectivity across Backbone Families and Distillation Paradigms

    Jul 3, 2026Patrick Mu HaojiePrompt SensitivityRectified Flow

    Independent Researcher.

  43. SwiftAudio: Data-Efficient Caption-Only Distillation for One-Step Text-to-Audio Diffusion-based Generation

    Jun 30, 2026Binh Mai, Tran Quoc Bao Le, Hung Dinh +1Text-to-Audio GenerationDiffusion Model Distillation

    Posts and Telecommunications Institute of Technology, Hanoi, Vietnam

  44. Why Do Few-Step Text Latents Fail When Image Latents Work? Non-Commitment at Sharp Categorical Readouts

    Jun 29, 2026Zhongyao WangFew-Step Diffusion SamplingGenerative Modeling

    Fudan University · Shanghai Innovation Institute

  45. FDM-MFVT: Few-step Sampling Diffusion Model for Mask-Free Virtual Try-On

    Jun 28, 2026Jiaxin Liu, Xiaoye Liang, Lai Jiang +2Virtual Try-OnFew-Step Diffusion Sampling

    School of Electronic Information Engineering, Beihang University, Beijing, China · Zhongguancun Academy, Beijing, China · State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China

  46. Beyond Trajectory Matching: Reflow with Marginal Distribution Alignment

    Jun 28, 2026Chen Wang, Peiran Yun, Pan Xie +1Diffusion Model DistillationDistribution Matching

    Department of Statistics and Data Science, Tsinghua University · Department of Computer Science and Technology, Tsinghua University · Bytedance Inc

  47. SATB-VR: Training Few-Step Video Restoration Diffusion Model using SNR-Aware Trajectory Blending

    Jun 27, 2026Haoran Bai, Xiaoxu Chen, Xiaoyu Liu +4Video Diffusion ModelsFew-Step Diffusion Sampling

    1Alibaba Group · 2Harbin Institute of Technology · 3Xi’an Jiaotong University

  48. A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching

    Jun 23, 2026Feiyang Fu, Hehe FanFlow MatchingFew-Step Diffusion Sampling

    College of Artificial Intelligence, Zhejiang University, Hangzhou, China.

  49. Walk fast but be careful: Understanding Parallel Sampling in Masked Diffusion

    Jun 22, 2026Vansh Bansal, Cholyeon Cho, Syamantak Kumar +2Masked Diffusion ModelsDiffusion Sampling

    UT Austin SDS · UT Austin CS · UT Austin ECE

  50. Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning

    Jun 21, 2026Songtao Tian, Guhan Chen, Bohan Li +2Curriculum RLFew-Step Diffusion Sampling

    1Tsinghua University, Beijing, China · 2Huawei Large Model Data Technology Lab, Shenzhen, China

  51. CoDMD: Copula-aware Distribution Matching Distillation for Fast Video Generation

    Jun 20, 2026Wenhu Zhang, Kun Cheng, Changyuan Wang +7Video Diffusion ModelsDiffusion Model Distillation

    1HKUST · 2Wan Team, Alibaba Group · 3THU +2

  52. Data-Forcing Distillation: Restoring Diversity and Fidelity in Few-Step Video Generation

    Jun 16, 2026Siyi Chen, Shaowei Liu, Yixuan Jia +4Video Diffusion ModelsDiffusion Model Distillation

    University of Michigan · NVIDIA · University of Illinois Urbana-Champaign

  53. Temporal Difference Learning for Diffusion Models

    Jun 13, 2026Qizhen Ying, Yangchen Pan, Victor Adrian Prisacariu +1Few-Step Diffusion SamplingRL for Diffusion Models

    Department of Engineering Science, University of Oxford, Oxford, United Kingdom · School of Computer Science, Carleton University, Ottawa, Canada.

  54. High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation

    Jun 10, 2026Dongyang Liu, Ruoyi Du, David Liu +7Diffusion Model DistillationFew-Step Diffusion Sampling

    Z-Image Team, Alibaba Group

  55. Learning to Solve Generative ODEs Beyond the Linear Span

    Jun 7, 2026Sihyeon Kim, Seunghun Lee, Vikas Singh +1Few-Step Diffusion SamplingFlow-Based Generative Modeling

    Korea University · KAIST · University of Wisconsin–Madison

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

    Jun 7, 2026Gianluca Scarpellini, Ron Shprints, Peter Holderrieth +7Protein Structure PredictionDiffusion Distillation

    1Genesis Molecular AI · Massachusetts Institute of Technology · Carnegie Mellon University +2

  57. Mitigating the Contractivity Trap in Diffusion ODEs via Stein Stabilization

    Jun 5, 2026Shigui Li, Delu ZengFew-Step Diffusion SamplingDiffusion Model Inference Acceleration

    School of Mathematics, South China University of Technology, Guangzhou, China · School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China

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

    Jun 4, 2026Woojung Han, Seil Kang, Youngjun Jun +3Physical Consistency in Video GenerationImage-to-Video Generation

    1Yonsei University, South Korea · 2NVIDIA, Taiwan.

  59. Tracing the Oracle: Improving Diffusion Timestep Scheduling for 3D CT Reconstruction

    Jun 4, 2026Yujia Wu, Zhaoqiang LiuDiffusion SamplingFew-Step Diffusion Sampling

    The authors are with the School of Computer Science and Engineering, University of Electronic Science and Technology of China.

  60. A Quantitative Approximation Framework for Flow Distillation in Diffusion Models

    Jun 2, 2026Weiguo Gao, Ming Li, Lei Shi +1Diffusion Model DistillationFew-Step Diffusion Sampling

    School of Mathematical Sciences, Fudan University, Shanghai, 200433, China · Shanghai Key Laboratory of Contemporary Applied Mathematics, Fudan University, Shanghai, 200433, China