论文精选78°

MIT新算法加速扩散模型采样,指数级减少步骤

MIT researchers developed a faster way to sample f…

精选理由

MIT搞了个新算法,采样扩散模型快了很多,还拿了ICML最佳论文奖,做图像生成的朋友可以看看。

AI 摘要

MIT研究人员提出一种新算法,能在指数级更少的采样步骤内达到与标准扩散模型相同的精度。该算法可大幅提升图像生成等扩散AI系统的效率。相关论文在ICML 2023荣获杰出论文奖(Outstanding Paper)。

原文 · MIT CSAIL

MIT researchers developed a faster way to sample f…

MIT researchers developed a faster way to sample from AI diffusion models. They propose a new algorithm reaching the same level of accuracy in exponentially fewer steps, suggesting a path to much more efficient image generation & other diffusion-based AI systems. It recently won Outstanding Paper at ICML: https://t.co/9uIMcJDWY6