“第二十二章 美颜”版本间的差异
来自cslt Wiki
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* Online beatificaiton [https://github.com/Guikunzhi/BeautifyFaceDemo] | * Online beatificaiton [https://github.com/Guikunzhi/BeautifyFaceDemo] | ||
* TangineKit: land mark detection [https://github.com/OAID/TengineKit] | * TangineKit: land mark detection [https://github.com/OAID/TengineKit] | ||
| − | * Android make up [https://github.com/jiangzhongbo/TengineKit_Demo_Big_Eyes] | + | * Android make up [https://github.com/jiangzhongbo/TengineKit_Demo_Big_Eyes] [https://github.com/DingProg/Makeup] |
2022年8月10日 (三) 07:04的版本
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
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
- [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. [12]
- Liu X, Wang R, Chen C F, et al. Face beautification: Beyond makeup transfer[J]. arXiv preprint arXiv:1912.03630, 2019. [13]
