VMoBA is a sparse attention mechanism for video diffusion models that combines cyclic 1D-2D-3D block partitioning with global and threshold-based block selection to reduce training FLOPs while keeping generation quality.
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VMoBA: Mixture-of-Block Attention for Video Diffusion Models
VMoBA is a sparse attention mechanism for video diffusion models that combines cyclic 1D-2D-3D block partitioning with global and threshold-based block selection to reduce training FLOPs while keeping generation quality.