SparsePR: Training-Free Sparse Attention for Video Generation
TexasAMUniversity · hf · 2026-08-24
Texas A&M University introduced SparsePR, a training-free sparse attention mechanism for video generation and world models. It accelerates video transformers via response-coupled partitioning and probe-fitted residual reconstruction, reducing attention error at low executed-pair densities while delivering substantial speedups.
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