扩散模型生成合成数据。
Synthetic data generation by diffusion models.
作者信息
Zhu Jun
机构信息
Department of Computer Science and Technology, BNRist Center, Tsinghua-Bosch Joint ML Center, Tsinghua University; Pazhou Laboratory (Huangpu), China.
出版信息
Natl Sci Rev. 2024 Aug 24;11(8):nwae276. doi: 10.1093/nsr/nwae276. eCollection 2024 Aug.
Abstract
This paper provides a brief overview on diffusion models, which are extremely powerful on generating high-dimensional data, including images, 3D content, and videos, and provides insights for future work.
摘要
本文简要概述了扩散模型，该模型在生成包括图像、3D内容和视频在内的高维数据方面极为强大，并为未来工作提供了见解。
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