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Shanghao Liu

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Preprint Sep 2026

Decoupling Logical Masks from GPU Execution for Dynamic Block-Sparse Attention

Attention computation makes inference expensive in video diffusion transformers (vDiTs), which generate videos through iterative denoising. Block-sparse attention (BSA) reduces this cost by computing only blocks selected by a logical mask, which specifies attention interactions to compute. However, coupling logical blo...

Shang-Hao Liu, Xiao-Yun Yu, Wan-Ting Li et al. · 0 citations
Preprint Aug 2026

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference

SPADE is presented, a training-free sparse-attention engine of three parts: a specification defining 3D blocking candidates and formalizing dynamic masks via Summarizer/Estimator expressions, and an executor with low-overhead index search, flash block-sparse attention, and kernel grouping.

Shang-Hao Liu, Renze Chen, Size Zheng et al. · 1 citation · ⚡1

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