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Sparsity Should Be ALLOTted by Output: Training-Free Allocation of Block-Sparse Attention for Video Diffusion Transformers

Full 3D attention is costly in video Diffusion Transformers. Block-sparse attention reduces this cost by computing only selected attention blocks. However, existing methods either overlook the potenti

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–Rank now
#11Best rank
–Score · 24h
154Score · 7d
2Days on list
12Snapshots
Oct 22, 2026First seen

Summary

Sparsity Should Be ALLOTted by Output: Training-Free Allocation of Block-Sparse Attention for Video Diffusion Transformers was first seen on Hugging Face · Daily papers on Oct 22, 2026. Since then it appeared in 12 hourly checks across 2 days, peaking at #11 on Oct 22, 05:18 UTC. It was last on the list on Oct 23, 01:18 UTC.

Rank history

Position on Hugging Face · Daily papers at every check (lower is better).

#1#11#20#30 03:1808:4814:1819:4801:18 Oct 22, 03:18 UTC · #27Oct 22, 05:18 UTC · #11Oct 22, 07:18 UTC · #14Oct 22, 09:18 UTC · #15Oct 22, 11:18 UTC · #15Oct 22, 13:18 UTC · #18Oct 22, 15:18 UTC · #17Oct 22, 17:18 UTC · #22Oct 22, 19:18 UTC · #22Oct 22, 21:18 UTC · #22Oct 22, 23:18 UTC · #22Oct 23, 01:18 UTC · #20

Last 14 days

Best rank per day (UTC).

Oct 14today

Metric history

Platform metric as reported by Hugging Face.

051015 03:1808:4814:1819:4801:18 Oct 22, 03:18 UTC · 4Oct 22, 05:18 UTC · 11Oct 22, 07:18 UTC · 12Oct 22, 09:18 UTC · 13Oct 22, 11:18 UTC · 13Oct 22, 13:18 UTC · 13Oct 22, 15:18 UTC · 14Oct 22, 17:18 UTC · 14Oct 22, 19:18 UTC · 15Oct 22, 21:18 UTC · 15Oct 22, 23:18 UTC · 15Oct 23, 01:18 UTC · 15

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Sparsity Should Be ALLOTted by Output: Training-Free Allocation of Block-Sparse Attention for Video Diffusion Transformers on TrendBoard
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