Enshuo Zhang

Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration

Diffusion transformers have shown exceptional performance in visual generation but incur high computational costs. Token reduction techniques that compress models by sharing the denoising process among similar tokens have been introduced. However, existing approaches neglect the denoising priors of…