2 papers
cs.CV2026
RoLA: Rotary-Positioned Low-Rank Linear Attention for Efficient Diffusion Transformers
Zekun Zhang, Yixiang Cai, Yuxi Liu +9
Diffusion Transformers (DiTs) achieve strong video generation quality, but their dense spatiotemporal self-attention scales quadratically with sequence length and quickly becomes t…
cs.CV2026
RoPeSLR: 3D RoPE-driven Sparse-LowRank Attention for Efficient Diffusion Transformers
Yuxi Liu, Zekun Zhang, Yixiang Cai +3
Diffusion Transformers (DiTs) have revolutionized high-fidelity video generation, yet their attention complexity poses a formidable bottleneck for long-sequence…