A survey that groups efficient video diffusion methods into four paradigms—step distillation, efficient attention, model compression, and cache/trajectory optimization—and outlines open challenges for practical use.
PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models, June 2025
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ScalingAttention discovers a prompt-agnostic intrinsic sparse attention topology in video DiTs via weight-encoded extraction (WEST) and fidelity-aware tuning (FAST), delivering up to 1.9x speedup.
citing papers explorer
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Efficient Video Diffusion Models: Advancements and Challenges
A survey that groups efficient video diffusion methods into four paradigms—step distillation, efficient attention, model compression, and cache/trajectory optimization—and outlines open challenges for practical use.
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ScalingAttention: Discovering Intrinsic Sparse Attention Topology for Video Diffusion Transformers
ScalingAttention discovers a prompt-agnostic intrinsic sparse attention topology in video DiTs via weight-encoded extraction (WEST) and fidelity-aware tuning (FAST), delivering up to 1.9x speedup.
- HEART: Exploiting Head Heterogeneity in Sparse Attention for Video Diffusion