Geometry-Aware Face Completion and Editing
1. Motivation 传统方法要求图像中的块之间存在相似性； 人脸有很明显的几何特征，几何信息的先验知识很重要； 如何在模型中实现对人脸的编辑。 2. Approach 2.1 Network architecture Network architecture 整体的网络框架如上图所示，分为三部分：面部几何信息的估计，生成器和判别器。 Facial geometry estimator 网络
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相关文章
- 1. Generative Face Completion
- 2. RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces论文阅读笔记
- 3. SC-FEGAN: Face Editing Generative Adversarial Network with User’s Sketch and Color
- 4. A Measurement-Based Skin Reflectance Model for Face Rendering and Editing
- 5. A. Omkar and Completion
- 6. SaGAN:Generative Adversarial Network with Spatial Attention for Face Attribute Editing
- 7. Learning disentangling and fusing networks for face completion under structured occlusions
- 8. codeforces A. Omkar and Completion
- 9. Learning Oracle Attention for High-fidelity Face Completion
- 10. GAN人脸修复--Generative Face Completion