Synthetic data generation by diffusion models

被引：0
|
作者：
Zhu, Jun [1 ,2 ]
机构：
[1] Tsinghua Univ, BNRist Ctr, Tsinghua Bosch Joint ML Ctr, Dept Comp Sci & Technol, Beijing, Peoples R China
[2] Pazhou Lab, Huangpu, Peoples R China
来源：
NATIONAL SCIENCE REVIEW | 2024年 / 11卷 / 08期
关键词：
D O I：
10.1093/nsr/nwae276
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
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收藏
页数：3
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