3D【11】人脸重建：Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition
这篇文章的思想跟Multilinear Autoencoder for 3D Face Model Learning 本质上是完全一样的。将人脸重建看成是一个线性问题，然后求解线性系数和特征向量。而且训练方法也是一样的。分三步：1、预训练encoder；2、预训练decoder；3、训练整个模型。 两篇文章的区别是：该论文用的是3DMM的理论，而上面我提到的那篇用的是高阶SVD张量分解理论。 我们
相关文章
- 1. 人脸对齐（十八）--Joint Face Alignment and 3D Face Reconstruction
- 2. 3D人脸重建：《Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network》
- 3. 3D【9】人脸重建:Joint3D Face Reconstruction and Dense Alignment with Position Map Regression
- 4. 3D【6】人脸重建:Multilinear Autoencoder for 3D Face Model Learning
- 5. 人脸识别-3D:Learning from Millions of 3D Scans for Large-scale 3D Face Recognition
- 6. Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
- 7. 3D【3】人脸重建:Image Based 3D Face Reconstruction: A Survey阅读笔记
- 8. 3D【4】人脸重建:Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric
- 9. 人脸识别论文笔记 Reconstruction-Based Disentanglement for Pose-invariant Face Recognition
- 10. 3D Face Reconstruction from a Single Image
- 更多相关文章...
- • Swift for-in 循环 - Swift 教程
- • Lua for 循环 - Lua 教程
- • RxJava操作符（七）Conditional and Boolean
- • 再有人问你分布式事务，把这篇扔给他
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 人脸对齐（十八）--Joint Face Alignment and 3D Face Reconstruction
- 2. 3D人脸重建：《Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network》
- 3. 3D【9】人脸重建:Joint3D Face Reconstruction and Dense Alignment with Position Map Regression
- 4. 3D【6】人脸重建:Multilinear Autoencoder for 3D Face Model Learning
- 5. 人脸识别-3D:Learning from Millions of 3D Scans for Large-scale 3D Face Recognition
- 6. Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
- 7. 3D【3】人脸重建:Image Based 3D Face Reconstruction: A Survey阅读笔记
- 8. 3D【4】人脸重建:Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric
- 9. 人脸识别论文笔记 Reconstruction-Based Disentanglement for Pose-invariant Face Recognition
- 10. 3D Face Reconstruction from a Single Image