MY late grandmother was one of the last generation of women who had bound feet. In the beginning of this century, she was born in a small remote village inhabited by the Mongol and Han nationalities. In those years he...MY late grandmother was one of the last generation of women who had bound feet. In the beginning of this century, she was born in a small remote village inhabited by the Mongol and Han nationalities. In those years her mother bound her childish feet tightly, using strips of cloth, so her feet remained small and pointed. Although I didn’t know much about life when I was a child, I often felt constrained at the sight of my grandmother’s bound feet. While I was growing up, I read some books about women’s emancipation and started to be more concerned about the fate of women. Chinese women have struggled up a展开更多
Boundary equilibrium generative adversarial networks(BEGANs)are the improved version of generative adversarial networks(GANs).In this paper,an improved BEGAN with a skip-connection technique in the generator and the d...Boundary equilibrium generative adversarial networks(BEGANs)are the improved version of generative adversarial networks(GANs).In this paper,an improved BEGAN with a skip-connection technique in the generator and the discriminator is proposed.Moreover,an alternative time-scale update rule is adopted to balance the learning rate of the generator and the discriminator.Finally,the performance of the proposed method is quantitatively evaluated by Fréchet inception distance(FID)and inception score(IS).The test results show that the performance of the proposed method is better than that of the original BEGAN.展开更多
生成对抗网络是一种强大的图像生成方法,主要的训练策略是生成器与判别器之间的零和博弈,通过生成器和判别器的循环对抗训练,最终达到纳什均衡。为了在有限数据集上快速生成图像,通过使用变分自编码器(Variational Auto Encoder,VAE)提...生成对抗网络是一种强大的图像生成方法,主要的训练策略是生成器与判别器之间的零和博弈,通过生成器和判别器的循环对抗训练,最终达到纳什均衡。为了在有限数据集上快速生成图像,通过使用变分自编码器(Variational Auto Encoder,VAE)提取真实图像信息,并将重建图像视为虚假图像来改进BEGAN,以增加判别器辨别真假图像的难度,特别是在训练初期进一步缓解模式崩溃和稳定性问题。生成器通过正则化项获取VAE 提取的信息来加快学习速度。实验数据验证,该改进的BEGAN 网络训练稳定,具备在有限数据集上快速生成高质量和高多样性图像的能力。展开更多
文摘MY late grandmother was one of the last generation of women who had bound feet. In the beginning of this century, she was born in a small remote village inhabited by the Mongol and Han nationalities. In those years her mother bound her childish feet tightly, using strips of cloth, so her feet remained small and pointed. Although I didn’t know much about life when I was a child, I often felt constrained at the sight of my grandmother’s bound feet. While I was growing up, I read some books about women’s emancipation and started to be more concerned about the fate of women. Chinese women have struggled up a
基金National Natural Science Foundation of China(Nos.61602398,U19A2083)Science and Technology Department of Hunan Province,China(No.2019GK4007)。
文摘Boundary equilibrium generative adversarial networks(BEGANs)are the improved version of generative adversarial networks(GANs).In this paper,an improved BEGAN with a skip-connection technique in the generator and the discriminator is proposed.Moreover,an alternative time-scale update rule is adopted to balance the learning rate of the generator and the discriminator.Finally,the performance of the proposed method is quantitatively evaluated by Fréchet inception distance(FID)and inception score(IS).The test results show that the performance of the proposed method is better than that of the original BEGAN.
文摘生成对抗网络是一种强大的图像生成方法,主要的训练策略是生成器与判别器之间的零和博弈,通过生成器和判别器的循环对抗训练,最终达到纳什均衡。为了在有限数据集上快速生成图像,通过使用变分自编码器(Variational Auto Encoder,VAE)提取真实图像信息,并将重建图像视为虚假图像来改进BEGAN,以增加判别器辨别真假图像的难度,特别是在训练初期进一步缓解模式崩溃和稳定性问题。生成器通过正则化项获取VAE 提取的信息来加快学习速度。实验数据验证,该改进的BEGAN 网络训练稳定,具备在有限数据集上快速生成高质量和高多样性图像的能力。
