PISA: Piecewise Sparse Attention Is Wiser for Efficient Diffusion Transformers
PISA proposes Piecewise Sparse Attention to speed up Diffusion Transformers by using sub-quadratic complexity. It combines exact computation for critical attention blocks with block-wise Taylor expansion for others, creating a training-free method that maintains high quality and preserves pre-trained weights.