Student’s t-Generative Adversarial Networks

Generative Adversarial Networks (GANs) have a great performance in image generation, but they need a large scale of data to train the entire framework, and often result in nonsensical results.

Data and Resources

Cite this as

Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Zhongwen Guo (2024). Dataset: Student’s t-Generative Adversarial Networks. https://doi.org/10.57702/3pcpve95

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Author Jinxuan Sun
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Guoqiang Zhong
Yang Chen
Yongbin Liu
Tao Li
Zhongwen Guo