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ML-CGAN: Conditional Generative Adversarial Network with a Meta-learner Structure for High-Quality Image Generation with Few Training Data

Published Online: 2021-01-04

Published Print: 2021-03

Authors

Ma, Ying

Zhong, Guoqiang https://orcid.org/0000-0002-2952-6642
Liu, Wen

Wang, Yanan

Jiang, Peng

Zhang, Rui
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (41706010)
License Information

Text and Data Mining valid from 2021-01-04

Version of Record valid from 2021-01-04
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Article History

Received: 28 July 2020

Accepted: 22 November 2020

First Online: 4 January 2021

Compliance with Ethical Standards

:

: The authors declare that they have no conflict of interest.

: This article does not contain any studies with human participants or animals performed by any of the authors.

: Informed consent was obtained from all individual participants included in the study.

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