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About this paper
Hui Shen, Jingxuan Zhang, Boning Xiong, Rui Hu, Shoufa Chen, Zhongwei Wan, Xin Wang, Yu Zhang and 6 more
Researchers from multiple institutions present a comprehensive survey of methods for enhancing the efficiency of diffusion models, addressing their high computational costs and slow generation times. The work establishes a detailed taxonomy categorizing efficiency techniques across algorithmic, system-level, and framework perspectives, providing a structured understanding of advancements in this area.
Key insights
- Achieving efficiency in diffusion models necessitates a multi-dimensional approach, integrating algorithmic, system-level, and software framework optimizations.
- Diverse algorithm-level innovations, from latent space utilization and refined loss formulations to efficient sampling solvers and model compression techniques, are crucial for intrinsic performance gains.
- System-level optimizations, including hardware-software co-design, parallel computing, and caching, significantly enhance the practical deployability and scalability of diffusion models.
Summary by alphaXiv.
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