Makeup Like a Superstar: Deep Localized Makeup Transfer Network
這篇論文沒有找到開源代碼，一些概念論文彙總也說的比較模糊。所以只能將自己的理解粘貼出來。 Makeup Like a Superstar: Deep Localized Makeup Transfer Network 摘要 文中試驗主要針對於粉底，嘴脣，眼影。不同的妝容需要不同的規則。不同的化妝品應用道不同的部位，還可以調整妝容的輕重度。 簡介 化妝過程分成兩步，第一個是妝容推薦，第二個
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相關文章
- 1. [MM18]BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network
- 2. LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup（ICCV19）
- 3. 讀論文：LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
- 4. LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
- 5. Digital Face Makeup by Example
- 6. PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer（CVPR20）
- 7. ＜CVPR2020 Oral＞AI妝容遷移: Pose-Robust Spatial-Aware GAN for Customizable Makeup Transfer
- 8. 論文筆記：去霧、超分和 Makeup（Cycle GAN 相關 4 篇）
- 9. A Survey on Deep Transfer Learning 2018 翻譯
- 10. [Style Transfer]Generative Adversarial Network in Medical Imaging: A Review