MOD-DiT: Mixture of Distributions for Dynamic Sparse Attention in Video Diffusion Transformers
训练自由、无采样的动态稀疏注意力框架,通过线性近似模型预测三种核心注意力模式(块对角、平行对角、垂直)的强度演化,在 HunyuanVideo 上实现 2.05× 加速,在 Wan2.1 上实现 1.75× 加速。
2 posts tagged with "Sparse Attention"
训练自由、无采样的动态稀疏注意力框架,通过线性近似模型预测三种核心注意力模式(块对角、平行对角、垂直)的强度演化,在 HunyuanVideo 上实现 2.05× 加速,在 Wan2.1 上实现 1.75× 加速。
A memory-centric LLM inference system that decouples full KV-cache storage from HBM, using lookahead tokens from speculative decoding to prefetch only the most relevant KV blocks, achieving 1.69×-2.3× throughput gains within 0.7 points of full-attention accuracy.