Sparse Attention for Video Generation Acceleration via Growing Sparsity and Reduced Search
Diffusion Transformers (DiTs) dominate video generation but suffer from high inference cost due to the quadratic complexity of self-attention. Sparse attention mitigates this by skipping unnecessary computation in the attention matrix, but existing methods apply a fixed sparsity ratio throughout…
By Yun Dai, Yuyun Chen, Jiarui Wen, Huiping Zhuang, Cen Chen, Ziqian ZengarXiv - cs.CV (CV)
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Originally published by arXiv - cs.CV (CV) on Oct 16, 2026.
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