EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching

Neural Information Processing Systems 

Transformer-based Diffusion Probabilistic Models (DPMs) have shown more potential than CNN-based DPMs, yet their extensive computational requirements hinder widespread practical applications.

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