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RECAP: Reciprocal Sparse Attention and Hierarchical Caching for Efficient Video Diffusion

Xu, Tiange et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionmachine-learning
Diffusion transformers generate high-quality videos but remain computationally expensive. Sparse attention and temporal caching reduce computation within and across denoising steps, respectively, offering a natural composition. However, predictions produced with sparse attention become sources for t
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