“第二十二章 美颜”版本间的差异
来自cslt Wiki
（以“ ==教学资料== *教学参考 *[http://aigraph.cslt.org/courses/21/course-22.pptx 课件] *小清爱提问：机器如何美颜[https://mp.wei...”为内容创建页面） |
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| 第25行： | 第25行： | ||
==开发者资源== | ==开发者资源== | ||
| − | + | * Code of BeautyGAN [https://github.com/Honlan/BeautyGAN] | |
| + | * Beautifulness prediction [https://github.com/ustcqidi/BeautyPredict] | ||
==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] | ||
| + | * 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?] | ||
2022年8月10日 (三) 05:44的版本
教学资料
扩展阅读
- AI100问：机器如何帮你美颜[]
视频展示
演示链接
开发者资源
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. [4]
- Liu X, Wang R, Chen C F, et al. Face beautification: Beyond makeup transfer[J]. arXiv preprint arXiv:1912.03630, 2019. [5]
