Poster "training-free acceleration" Papers

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Accelerating Diffusion Sampling via Exploiting Local Transition Coherence

shangwen zhu, Han Zhang, Zhantao Yang et al.

ICCV 2025arXiv:2503.09675

BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers

Hui Zhang, Tingwei Gao, Jie Shao et al.

CVPR 2025arXiv:2503.15927

CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers

Jiaqi Han, Haotian Ye, Puheng Li et al.

ICCV 2025arXiv:2507.15260

Grouped Speculative Decoding for Autoregressive Image Generation

Junhyuk So, Juncheol Shin, Hyunho Kook et al.

ICCV 2025arXiv:2508.07747

MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics

Bowei Guo, Shengkun Tang, Cong Zeng et al.

ICCV 2025arXiv:2510.11962

Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs

Jeongseok Hyun, Sukjun Hwang, Su Ho Han et al.

ICCV 2025arXiv:2507.07990

OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models

Huanpeng Chu, Wei Wu, Guanyu Feng et al.

ICCV 2025arXiv:2508.16212

SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference

Samir Khaki, Junxian Guo, Jiaming Tang et al.

ICCV 2025arXiv:2510.17777

FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models

Junhyuk So, Jungwon Lee, Eunhyeok Park

ECCV 2024arXiv:2312.03517