Search Results - "Nan, Fangzhe"

Multi‐view frontal face image generation: A survey by Ning, Xin, Nan, Fangzhe, Xu, Shaohui, Yu, Lina, Zhang, Liping

“…Face images from different perspectives reduce the accuracy of face recognition, and the generation of frontal face images is an important research topic in…”
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Face Editing Based on Facial Recognition Features by Ning, Xin, Xu, Shaohui, Nan, Fangzhe, Zeng, Qingliang, Wang, Chen, Cai, Weiwei, Li, Weijun, Jiang, Yizhang

“…Face editing generates a face image with the target attributes without changing the identity or other information. Current methods have achieved considerable…”
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Single Image Super-Resolution Reconstruction based on the ResNeXt Network by Nan, Fangzhe, Zeng, Qingliang, Xing, Yanni, Qian, Yurong

“…To solve the complex computation, unstable network and slow learning speed problems of a generative adversarial network for image super-resolution (SRGAN), we…”
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Multi‐style cartoonization: Leveraging multiple datasets with generative adversarial networks by Cai, Jianlu, Li, Frederick W. B., Nan, Fangzhe, Yang, Bailin

“…Scene cartoonization aims to convert photos into stylized cartoons. While generative adversarial networks (GANs) can generate high‐quality images, previous…”
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Image super-resolution reconstruction based on generative adversarial network model with feedback and attention mechanisms by Wang, Yongqiang, Li, Xue, Nan, Fangzhe, Liu, Feng, Li, Hua, Wang, Haitao, Qian, Yurong

“…Despite the rapid development of single-image super-resolution (SISR) methods of generative adversarial networks (GAN), which can reconstruct visually…”
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A super resolution frontal face generation model based on 3DDFA and CBAM by Niu, Chuanming, Nan, Fangzhe, Wang, Xinran

“…•FFSR_GAN was proposed.•CBAM is introduced for the frontal face generation module.•Using FRB-GAN to achieve super-resolution face reconstruction. Pose and low…”
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Continuous Learning of Face Attribute Synthesis by Ning, Xin, Li, Weijun, Dong, Xiaoli, Xu, Shaohui, Nan, Fangzhe, Yao, Yuanzhou

“…The generative adversarial network (GAN) exhibits great superiority in the face attribute synthesis task. However, existing methods have very limited effects…”
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Continuous learning of face attribute synthesis by Ning, Xin, Xu, Shaohui, Dong, Xiaoli, Li, Weijun, Nan, Fangzhe, Yao, Yuanzhou

“…The generative adversarial network (GAN) exhibits great superiority in the face attribute synthesis task. However, existing methods have very limited effects…”
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