读论文：LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
1 前言 传统算法做美妆迁移的时候，如下图所示，把 A* 的美妆迁移到 B 上面。但是这样会有一些问题： A 和 A* 难以同时获得 A 和 B 要做对齐工作 其他 而 LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup 这篇文章，解决了上述的一些缺点，其效果特色在于：
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相关文章
- 1. LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
- 2. LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup（ICCV19）
- 3. [MM18]BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network
- 4. 【论文阅读】Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond
- 5. 论文阅读 Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network
- 6. Adversarial Network Embedding论文解读
- 7. 论文阅读——Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks
- 8. Explaining and Harnessing Adversarial Examples 论文阅读
- 9. 【论文快读】Explaining and Harnessing Adversarial Examples（2015）
- 10. 论文阅读（6）：Deep Clustering and Block Hashing Network for Face Image Retrieval