Synthetic data generation by diffusion models

Zhu, Jun

doi:10.1093/nsr/nwae276

2024-08-24

Zhu, Jun *

DOI：10.1093/nsr/nwae276

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摘要

En 中文

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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期刊

National Science Review

IF:

17.1

论文数:

3.8K

被引数:

2.0W

机构

tsinghua university

学者数:

11.9W

论文数: 10.0W

被引数: 137

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