Diffusion Model Inference Acceleration

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40 papers in the last four weeks, up 100% on the four weeks before. 0.4% of all new papers.

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  1. AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation

    Apr 20, 2026Haoyue Tan, Shengnan Wang, Yulin Qiao +5Video Diffusion ModelsDiffusion Transformer

    University of Science and Technology of China · Institute of Artificial Intelligence, Hefei Comprehensive National Science Center · 3Independent Researcher +2

  2. Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing

    Apr 20, 2026Kijung Jeon, Michael Muehlebach, Molei TaoConstrained Generative ModelingLangevin Dynamics

    Georgia Institute of Technology · Max Planck Institute for Int. Sys.

  3. Speculative Decoding for Autoregressive Video Generation

    Apr 19, 2026Yuezhou Hu, Jintao ZhangVideo Diffusion ModelsAutoregressive Diffusion

    University of California, Berkeley

  4. VADF: Vision-Adaptive Diffusion Policy Framework for Efficient Robotic Manipulation

    Apr 17, 2026Xinglei Yu, Zhenyang Liu, Shufeng Nan +2Adaptive InferenceDiffusion Policy

    Fudan University · Shanghai Innovation Institute

  5. Efficient Video Diffusion Models: Advancements and Challenges

    Apr 17, 2026Shitong Shao, Lichen Bai, Pengfei Wan +2Model CompressionVideo Diffusion Models

    The Hong Kong University of Science and Technology (Guangzhou), China · Kling Team, Kuaishou Technology, China · The Hong Kong University of Science and Technology, Hong Kong

  6. Drift-AR: Single-Step Visual Autoregressive Generation via Anti-Symmetric Drifting

    Mar 30, 2026Zhen Zou, Xiaoxiao Ma, Mingde Yao +3Autoregressive DiffusionVisual Autoregressive Models

    University of Science and Technology of China · The Chinese University of Hong Kong, MMLAB · JD Explore Academy +1

  7. LatSearch: Latent Reward-Guided Search for Faster Inference-Time Scaling in Video Diffusion

    Mar 15, 2026Zengqun Zhao, Ziquan Liu, Yu Cao +5Video Diffusion ModelsInference-Time Scaling

    Queen Mary University of London · Huawei R&D UK · Imperial College London

  8. AccelAes: Accelerating Diffusion Transformers for Training-Free Aesthetic-Enhanced Image Generation

    Mar 13, 2026Xuanhua Yin, Chuanzhi Xu, Haoxian Zhou +2Diffusion TransformerImage Generation

    School of Computer Science, The University of Sydney, NSW 2006, Australia

  9. SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing

    Mar 9, 2026Xuanyi Zhou, Qiuyang Mang, Shuo Yang +7Video Diffusion ModelsEfficient Attention

    UC Berkeley, USA

  10. Cross-Resolution Distribution Matching for Diffusion Distillation

    Mar 6, 2026Feiyang Chen, Hongpeng Pan, Haonan Xu +3Video Diffusion ModelsDiffusion Model Distillation

    Huawei, Shanghai & Hangzhou, China · Nanjing University of Science and Technology, Nanjing, China

  11. Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration

    Mar 2, 2026Jiaqi Han, Juntong Shi, Puheng Li +3Video Diffusion ModelsDiffusion-Based Image Generation

    Stanford University · ByteDance

  12. SenCache: Accelerating Diffusion Model Inference via Sensitivity-Aware Caching

    Feb 27, 2026Yasaman Haghighi, Alexandre AlahiVideo Diffusion ModelsDiffusion Model Caching

    Ecole Polytechnique Fédérale de Lausanne (EPFL)

  13. General and Efficient Steering of Diffusion Models

    Feb 11, 2026Qingsong Wang, Mikhail Belkin, Yusu WangDiffusion Model GuidanceActivation Steering

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

  14. Stable Velocity: A Variance Perspective on Flow Matching

    Feb 5, 2026Donglin Yang, Yongxing Zhang, Xin Yu +5Flow MatchingImage Generation

    University of Hong Kong, Hong Kong · University of British Columbia, Canada · Vector Institute for AI, Toronto, Canada +2

  15. FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion

    Feb 5, 2026Zhuokun Chen, Jianfei Cai, Bohan ZhuangVideo Diffusion ModelsSelf-Attention

    1Monash University · 2Zhejiang University

  16. Window-Diffusion: Accelerating Diffusion Language Model Inference with Windowed Token Pruning and Caching

    Jan 28, 2026Fengrui Zuo, Zhiwei Ke, Yiming Liu +3Diffusion Language Model InferenceToken Pruning

    School of Computer Science and Technology, University of Science and Technology of China · Suzhou Institute of Advanced Research, University of Science and Technology of China

  17. ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule

    Jan 26, 2026Yilie Huang, Wenpin Tang, Xunyu ZhouDiffusion SamplingAdaptive Sampling

    Department of Industrial Engineering and Operations Research, Columbia University, New York, NY 10027, USA. · Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University, New York, NY 10027, USA.

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

    Jan 25, 2026Zhongyu Xiao, Zhiwei Hao, Jianyuan Guo +4Adaptive InferenceBlockwise Diffusion Language 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

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

    Jan 20, 2026Qiang Sun, H. Vincent Poor, Wenyi ZhangDiffusion SamplingDiffusion Model Inference Acceleration

    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. Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers

    Jan 14, 2026Yuxi Liu, Yipeng Hu, Zekun Zhang +2Video Diffusion ModelsDiffusion Transformer

    Peking University · University of Electronic Science and Technology of China · University of Science and Technology of China

  21. SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices

    Jan 13, 2026Dongting Hu, Aarush Gupta, Magzhan Gabidolla +12Diffusion TransformerDiffusion Model Distillation

    Snap Inc. · University of Melbourne · MBZUAI

  22. Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion

    Dec 29, 2025Hau-Shiang Shiu, Chin-Yang Lin, Zhixiang Wang +4Video Super-ResolutionDiffusion Model Inference Acceleration

    National Yang Ming Chiao Tung University · Shanda AI Research Tokyo · MediaTek Inc.

  23. ReDiF: Resource-Efficient Few-Step Diffusion Distillation via Reinforcement Learning

    Dec 28, 2025Amirhossein Tighkhorshid, Zahra Dehghanian, Hamid R. RabieeDiffusion DistillationRL for Diffusion Models

    Computer Engineering Sharif University of Technology

  24. Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models

    Dec 16, 2025Shufan Li, Jiuxiang Gu, Kangning Liu +4Masked Diffusion ModelsDiffusion Language Model Inference

    Adobe · UCLA

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

    Dec 9, 2025Vasco Ramos, Regev Cohen, Idan Szpektor +1Diffusion Model AlignmentVision-Language Alignment

    NOVALINCS, NOVA University of Lisbon, Portugal · Google Research

  26. Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

    Nov 27, 2025Z-Image Team, Huanqia Cai, Sihan Cao +21Diffusion TransformerDiffusion Model Inference Acceleration

    Z-Image Team, Alibaba Group

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

    Nov 21, 2025Hao Chen, Renzheng Zhang, Scott S. HowardDiffusion Models for Image RestorationBayesian Inverse Problems

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

  28. UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention

    Oct 18, 2025Yuyao Zhang, Yu-Wing TaiImage GenerationDiffusion Model Inference Acceleration

    Dartmouth College, USA

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

    Sep 29, 2025Wenkun He, Yuchao Gu, Junyu Chen +11Diffusion Model Fine-TuningDiffusion Model Inference Acceleration

  30. Enabling Approximate Joint Sampling in Diffusion LMs

    Sep 25, 2025Parikshit Bansal, Sujay SanghaviMasked Diffusion ModelsDiffusion Language Model Decoding

    UT Austin