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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.

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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

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Additional Info

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