Generative Adversarial Network and Its Research Progress in Image Generation

Generative Adversarial Network and Its Research Progress in Image Generation

Generative adversarial networks (GAN) has become a popular research direction in the field of deep learning. The unique adversarial idea of GAN comes from the two-player zero-sum game in game theory. How to solve the problems of unstable GAN training, poor quality of generated samples, inadequate ev...

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Bibliographic Details
Main Author: MA Yongjie, XU Xiaodong, ZHANG Ru, XIE Yirong, CHEN Hong
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2021-10-01
Series:Jisuanji kexue yu tansuo
Subjects:
generative adversarial networks (gan)
machine learning
deep learning
image processing
unsupervised learning
image generation
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2906.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2906.shtml

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