Interaction-aware sparse attention and timestep-adaptive sparsity accelerate video generation

iCATS achieves up to 2× speedup on video DiTs with minimal quality loss by clustering tokens based on query-key interactions and adjusting sparsity per denoising step.

Chinese Tech
Chengfeng Han · Baole Ai · Xianlu Bian · Jie Yao · Zilong Huang · Ang Wang · +1 more

Hangzhou Normal University · T-Head Semiconductor Co., Ltd. · Alibaba Group

Research Digest··2 min read
Han et al.

The authors develop iCATS, a training-free method for accelerating attention in Diffusion Transformer (DiT) based video generation.

Why this paper

From Alibaba Group and 2 others

In one line

iCATS achieves state-of-the-art efficiency-quality trade-off in video generation through interaction-aware sparse attention and SNR-guided sparsity.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ✓Limitations stated by the authors (2 noted)
  • ✓Reports numbers on named benchmarks (2 benchmarks)

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

§

Research Digest

Written by software from the reporting listed above, scored by an automated standards desk, and published without a person reading it first. If something here is wrong, tell the editor and it will be put right.

How we workSubscribe