Author

Xi Li

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Preprint Aug 2026

SCOPE: Subspace Clustering with Online Per-Head Top-K Estimation for Sparse Video Attention

SCOPE is a training-free sparse attention framework that combines 3D-RoPE-aligned key subspace clustering with online per-head Top-$k$ estimation for efficient video-DiT inference and consistently outperforms existing training-free baselines in both fidelity and latency.

Qi Zhao, Qi-Rui Li, Hanlin Tang et al. · 0 citations