Exploration of the Relation between Input Noise and Generated Image in Generative Adversarial NetworksOA
Exploration of the Relation between Input Noise and Generated Image in Generative Adversarial Networks
Hao-He Liu;Si-Qi Yao;Cheng-Ying Yang;Yu-Lin Wang
School of Computer Science, Northwestern Polytechnical University, Xi'an 710072International Institute of Service Engineering, Hangzhou Normal University, Hangzhou 311121Department of Computer Science, University of Taipei, Taipei 10048Shenzhen Research Institute, Wuhan University, Shenzhen 518057
Deep convolution generative adversarial network (DCGAN)deep learningguided generative adversarial network (GAN)visualization
Deep convolution generative adversarial network (DCGAN)deep learningguided generative adversarial network (GAN)visualization
《电子科技学刊》 2022 (1)
70-80,11
This work was supported by Shenzhen Science and Technology Innovation Committee under Grants No. JCYJ20170306170559215 and No. JCYJ20180302153918689.
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