Training-free sparse attention that classifies each head as spatial, temporal, or textural and applies a matched mask or token reduction, giving about 1.9x attention speedup with small VBench losses.
Sparsevit: Revisiting activation spar- sity for efficient high-resolution vision transformer
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
RainFusion: Adaptive Video Generation Acceleration via Multi-Dimensional Visual Redundancy
Training-free sparse attention that classifies each head as spatial, temporal, or textural and applies a matched mask or token reduction, giving about 1.9x attention speedup with small VBench losses.