“第二十二章 美颜”版本间的差异

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==扩展阅读==
 
==扩展阅读==
  
* AI100问:机器如何帮你美颜[http://aigraph.cslt.org/courses/ai100/AI-100-80-AI如何为你美颜.pdf]
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* AI100问:机器如何帮你美颜[http://aigraph.cslt.org/ai100/AI-100-80-AI如何为你美颜.pdf]
  
  
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==演示链接==
 
==演示链接==
  
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* How normal am I [https://www.hownormalami.eu/]
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* 旷世人脸打分 [https://www.faceplusplus.com/beauty/]
  
  
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* Code of BeautyGAN [https://github.com/Honlan/BeautyGAN]
 
* Code of BeautyGAN [https://github.com/Honlan/BeautyGAN]
 
* Beautifulness prediction [https://github.com/ustcqidi/BeautyPredict]
 
* Beautifulness prediction [https://github.com/ustcqidi/BeautyPredict]
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* Online beatificaiton [https://github.com/Guikunzhi/BeautifyFaceDemo]
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* TangineKit: land mark detection [https://github.com/OAID/TengineKit]
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* Android make up [https://github.com/jiangzhongbo/TengineKit_Demo_Big_Eyes] [https://github.com/DingProg/Makeup]
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==高级读者==
 
==高级读者==
* [1] Tingting Li, Ruihe Qian, Chao Dong, Si Liu, Qiong Yan,Wenwu Zhu, and Liang Lin. Beautygan: Instance-level fa-cial makeup transfer with deep generative adversarial network. In2018 ACM Multimedia Conference on MultimediaConference, pages 645–653. ACM, 2018. [https://dl.acm.org/doi/abs/10.1145/3240508.3240618]
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* Tingting Li, Ruihe Qian, Chao Dong, Si Liu, Qiong Yan,Wenwu Zhu, and Liang Lin. Beautygan: Instance-level fa-cial makeup transfer with deep generative adversarial network. In2018 ACM Multimedia Conference on MultimediaConference, pages 645–653. ACM, 2018. [https://dl.acm.org/doi/abs/10.1145/3240508.3240618]
 
* Liu X, Wang R, Chen C F, et al. Face beautification: Beyond makeup transfer[J]. arXiv preprint arXiv:1912.03630, 2019. [https://arxiv.org/pdf/1912.03630.pdf?]
 
* Liu X, Wang R, Chen C F, et al. Face beautification: Beyond makeup transfer[J]. arXiv preprint arXiv:1912.03630, 2019. [https://arxiv.org/pdf/1912.03630.pdf?]

2023年8月13日 (日) 01:55的最后版本


教学资料


扩展阅读

  • AI100问:机器如何帮你美颜[2]


视频展示

  • 美颜前后[3]


演示链接

  • How normal am I [4]
  • 旷世人脸打分 [5]


开发者资源

  • Code of BeautyGAN [6]
  • Beautifulness prediction [7]
  • Online beatificaiton [8]
  • TangineKit: land mark detection [9]
  • Android make up [10] [11]


高级读者

  • Tingting Li, Ruihe Qian, Chao Dong, Si Liu, Qiong Yan,Wenwu Zhu, and Liang Lin. Beautygan: Instance-level fa-cial makeup transfer with deep generative adversarial network. In2018 ACM Multimedia Conference on MultimediaConference, pages 645–653. ACM, 2018. [12]
  • Liu X, Wang R, Chen C F, et al. Face beautification: Beyond makeup transfer[J]. arXiv preprint arXiv:1912.03630, 2019. [13]