Diffusion Model Inference Acceleration

Ask about this topic

Momentum

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

Jul 13Week of Sep 28
View on map

Latest papers 335

All topics
CardsList

  1. BudgetPix: Compute-Adaptive Tokenization for Pixel-Space Image Diffusion

    Oct 8, 2026Ozgur Kara, Yujia Chen, Daniel Watson +4Image TokenizationDiffusion Model Inference Acceleration

    University of Illinois Urbana-Champaign · Google

  2. DiffuPlex: Accelerating Full-Duplex Spoken Dialog Models via Rolling Masked Diffusion

    Oct 8, 2026Heeseung KimFull-Duplex Spoken Dialogue SystemsDiffusion Model Inference Acceleration

    Department of Artificial Intelligence University of Seoul Seoul, Republic of Korea

  3. Just Weather Scoring: Efficient End-to-end Nowcasting with Distributional Diffusion

    Oct 8, 2026Jannik Wiese, Johannes Schusterbauer, Tommaso Martorella +1Precipitation NowcastingProbabilistic Forecasting

  4. Streaming-Aware Diffusion for Real-Time Video Super-Resolution via Cross-Step Attention

    Oct 8, 2026Harris Partaourides, Sotirios ChatzisVideo Super-ResolutionDiffusion Model Inference Acceleration

    Ethical AI Novelties Limassol, Cyprus · Cyprus University of Technology Limassol, Cyprus

  5. iCATS: Fast Video Generation via Interaction-Aware Sparse Attention and Timestep-Adaptive Sparsity

    Oct 8, 2026Chengfeng Han, Baole Ai, Xianlu Bian +4Diffusion Model Inference AccelerationVideo Diffusion Models

    Hangzhou Normal University · T-Head Semiconductor Co., Ltd. · Alibaba Group

  6. The Lattice of Transition Laws

    Oct 8, 2026T. Y. Tsui, Jiatao Gu, Lingjie LiuParallel DecodingDiffusion Sampling

    University of Pennsylvania

  7. Omni-Diffusion-Distill: Few-Step Distillation of Unified Multimodal Diffusion Large Language Models

    Oct 7, 2026Hong Huang, Chenhongyi Yang, Junzhe Sun +3Diffusion Language Model DistillationDiffusion Model Inference Acceleration

    Simon Fraser University · Meta

  8. GRACE: Generation-aware latent compression for efficient video generation

    Oct 7, 2026Jiyoung Kim, Paul Hyunbin Cho, Jisu Nam +5Diffusion Model Inference AccelerationVideo Diffusion Models

    KAIST AI · Kakao Corp.

  9. MORCA: Offline-to-Online Reinforcement Learning for Adaptive Cache Reuse in Video Diffusion Acceleration

    Oct 7, 2026Yuxiang Xiong, Ruiyan Wang, Wenqiang Wang +5Diffusion Model CachingDiffusion Model Inference Acceleration

    Shanghai Jiao Tong University · Alibaba Cloud Computing · Alibaba Token Hub, Alibaba Group

  10. Koopman Observers for Diffusion Acceleration: Correcting Feature Forecasts with Shallow Measurements

    Oct 7, 2026Hanru Bai, Yuanchao Xu, Fengyi LiDiffusion Model Inference AccelerationDiffusion Model Caching

    ETH Zurich · Max Planck Institute for Intelligent Systems · Kyoto University +1

  11. Pooling Representation Autoencoders for Efficient Diffusion

    Oct 7, 2026Ramón Calvo-González, Youssef Saied, François FleuretAutoencodersDiffusion-Based Image Generation

    University of Geneva · University of Geneva and Meta

  12. Consistent Distribution Matching for Data-Free Diffusion Distillation

    Oct 6, 2026Yuxiang Fu, Qi Yan, Zike Wu +4Diffusion Model DistillationDiffusion Model Inference Acceleration

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

  13. SNR-Gated LSTM-Conditioned Diffusion Model for MIMO Channel Estimation

    Oct 6, 2026Jixing Zhou, Xinming HuangChannel EstimationConditional Diffusion Models

    Worcester Polytechnic Institute Worcester, MA, USA

  14. Backend-Agnostic Sparse Attention for Fast High-Resolution Visual Generation

    Oct 6, 2026Liao Ma, Jiayi Song, Yunfeng Wu +2Video Diffusion ModelsDiffusion Transformer

    School of Artificial Intelligence, Shanghai Jiao Tong University · School of Data Science, Fudan University · School of Computing and Data Science, The University of Hong Kong

  15. RefRoute: Decoupling Conditioning Cost from References via Compact Residual Conditioning and Spatial Routing

    Oct 6, 2026Wanning He, Yuyao Zhang, Yu-Wing TaiDiffusion TransformerImage Generation

    Dartmouth College

  16. MC-Sparse: Deconstructing and Closing the Dense-Sparse Attention Gap in Diffusion Transformers

    Oct 5, 2026Jiarui Chen, Zeqiang Lai, Jiangshan Wang +5Video Diffusion ModelsDiffusion Transformer

    Fudan University · Tencent HY · Shanghai Innovation Institute +4

  17. Level-of-Token Diffusion

    Oct 5, 2026Kiyohiro Nakayama, Brian Chao, Jan Ackermann +5Video Diffusion ModelsDiffusion Transformer

    Stanford University · Google

  18. The Unexpired Plan: A Free Monitor for Accelerated Diffusion Policies

    Oct 5, 2026Yi Zhao, Sebastian SchererRoboticsDiffusion Policy

    AirLab, The Robotics Institute Carnegie Mellon University, Pittsburgh, PA, USA

  19. Hybrid-Basis Feature Forecasting for Diffusion Sampling Acceleration

    Oct 4, 2026Kai-Liang Cheng, Yuan-Yuan Cheng, Yu-fan Jin +1Diffusion SamplingDiffusion Model Caching

    University of Science and Technology of China, China

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

    Oct 1, 2026Yair Schiff, Omer Belhasin, Roy Uziel +7Diffusion Language Model InferenceLanguage Modeling

    NVIDIA · Cornell University

  21. Looped Diffusion Transformer

    Sep 30, 2026Yong Xien Chng, Tianyi Chen, Wenwen Tong +7Diffusion TransformerRecurrent Transformers

    SenseTime Research · LeapLab, Tsinghua University · Nanyang Tehnological Univesity

  22. Distribution Matching Distillation for Continuous Diffusion Language Models

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

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

  23. Fork-dLLM: Avoiding the Flexibility Trap in Diffusion Language Models

    Sep 30, 2026Stipe Frković, Metod Jazbec, Christian A. NaessethMasked Diffusion ModelsSpeculative Decoding for Diffusion Language Models

    University of Amsterdam · UvA-Bosch Delta Lab, University of Amsterdam

  24. Graph Residual Conjugate Diffusion: SNR-Equalized Heat Flow for Graph Signals

    Sep 30, 2026Jinwei Li, Daniel TenbrinckGraph Signal ProcessingDiffusion Model Inference Acceleration

    Department of Data Science Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen, Germany

  25. The Golden Path Hypothesis: Reusable Schedules in Diffusion Caching

    Sep 30, 2026Dong Wang, Wenwu Tang, Francesco Corti +3Diffusion Model CachingDiffusion Timestep Scheduling

    Graz University of Technology, Austria · Swiss Data Science Center, Switzerland · ETH Zurich, Switzerland +1

  26. DeCoPrune: Efficient KV-Cache Pruning for Autoregressive Video Diffusion via Denoising Consistency

    Sep 30, 2026Zeqi Xiao, Qingle Liu, Kaiwen Zhang +3KV-Cache ManagementAutoregressive Video Generation

    Nanyang Technological University · Tsinghua University · Princeton University

  27. PARK: Accurate Block Retrieval for Sparse Attention in Video Diffusion Transformers

    Sep 30, 2026Yun Dai, Jiarui Wen, Huiping Zhuang +2Video Diffusion ModelsDiffusion Transformer

    South China University of Technology

  28. 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

  29. LongLive-Plug: Once-for-All Distillation for Video Generation

    Sep 29, 2026Shuai Yang, Luozhou Wang, Wei Huang +9Video Diffusion ModelsDiffusion Model Distillation

    NVIDIA

  30. Time-Anchored Diffusion Language Models: Latent-Space Caching for Fast Generation

    Sep 29, 2026Joel Anto Paul, Litu Rout, Aditya Akella +1Diffusion Language Model InferenceDiffusion Model Caching

    UT Austin