3D【9】人脸重建:Joint3D Face Reconstruction and Dense Alignment with Position Map Regression
该论文同时预测人脸特征点和3D mesh的顶点坐标x，y，z。人脸特征点没什么好说的，现在已经有很多成功的案例了。主要关注该论文是如何预测顶点坐标的。其实大概想想，就能够大致确定直接预测顶点坐标是有不少困难的。首先是，你不能把所有的顶点拉成一个向量，用全连接层预测；要用卷积层作为输出的话，mesh又不能直接表示成一个固定大小的张量（这正好是用cnn来预测所需要解决的问题，比如将mesh立方体化）。
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相关文章
- 1. 3D人脸重建：《Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network》
- 2. 人脸对齐（十八）--Joint Face Alignment and 3D Face Reconstruction
- 3. 3D【11】人脸重建：Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition
- 4. 人脸对齐--Face Alignment by Explicit Shape Regression
- 5. 三维人脸重建论文收集
- 6. 人脸对齐--One Millisecond Face Alignment with an Ensemble of Regression Trees
- 7. (Face Alignment) One Millisecond Face Alignment with an Ensemble of Regression Trees 笔记
- 8. 微软三维人脸重建论文总结——《Accurate 3D Face Reconstruction with Weakly-Supervised Learning》
- 9. PRNet：人脸3D重建与密集对齐
- 10. End-to-end 3D face reconstruction with deep neural networks